Itrsquos Time for Learning to Go Back to School Next-Generation Approaches Enrich the Student Experience Major structural shifts in offline and online learning delivery will lead to integrated systems that enable adaptive and holistic higher-education learning environments that harness the capabilities of social mobile analytics and cloud mdash the SMAC Stack lsquoDigital footprintsrsquo point the way for schools and eventually employers to discover learnersrsquo competencies and interests and match them with their own offerings and talent needs
2 KEEP CHALLENGING March 20152 KEEP CHALLENGING March 2015
Executive SummaryHow students want to learn mdash and institutions need to teach mdash is
undergoing a total digital transformation Todayrsquos higher education
students demand more flexible personalized models of learning that
offer a higher return on investment and preparation for employment
in the 21st century workplace All stakeholders in the educational value
chain stand to benefit from this overhaul the more data that is collected
and analyzed the better synergy that can be created among students
educational institutions areas of study approaches to learning and
employment opportunities
The catalyst for the transformation is generational Millennial students
and their younger counterparts expect learning options that utilize the
advanced technologies that they as digital natives use every day as
well as learning experiences that are tailored to their particular needs
and objectives Toward that end institutions are employing social
mobile analytics and cloud technologies (aka the SMAC StackTM) to
develop the insights that lead to personalized and engaging learning
experiences
The transformation toward personalized and adaptive learning
experiences will be achieved by collecting and applying analytics to the
data surrounding students and other entities in the learning lifecycle
These digital footprints (what we call a Code HaloTM) are generated by
the online behaviors of and existing data about individuals institutions
learning processes and devices The meaning that can be derived in
this data is a ripe source for understanding and even predicting student
needs and optimally matching students with schools learning models
and employers
Code Halo thinking1 will enrich every aspect of the learning lifecycle
from admissions to coursework to job placement and lifelong education
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 3 ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 3
Forces Driving the Transformation of Learning Traditional educational models are at a crossroads With less than half of full-time students at public four-year colleges and universities in the US graduating within four years2 the higher education learning landscape is in need of serious modernization if not a full transformation
Public spending on education is lower than it has been historically3 as is parental satisfaction with cost graduation rates and return on investment4 With high unemployment levels among recent college grads5 the perceived ROI for a traditional college education is under intense scrutiny The value of higher education will remain an open question for the foreseeable future unless all stakeholders recognize that change is needed today All roads to the future of work in the US mdash and the developed world mdash pass through the education sector
Indeed the signposts of change are already visible with new-breed educational providers entering the market with affordable and innovative learning solutions For example massive open online courses (MOOCs)6 address a growing customer segment looking for an enriched cost-effective approach to learning Of course this is not just about earning a degree or certifi-cation but also about obtaining verifiable skills that lead to employment and higher pay
Evidence is also growing that adaptive learning models that are personalized to student needs are key to optimizing student performance In one study students who completed a course that matched their learning style spent significantly less time in the course and achieved on average the same grades as students who took a course that was mismatched with their learning styles or included all available learning content7
Even for traditional players interacting with students today requires utilizing and managing more channels of interaction than ever before The result of all these changes Higher education business models mdash tuition and net revenue models marketing enrollment strategy content dis-tribution and engagement of alumni networks mdash are evolving drastically Not only is technology altering core business processes but the ways in which individuals use technology to learn are shifting as well Figure 1 (next page) illustrates the new higher education learning ecosystem
Higher education is being disrupted by the intersection of several forces
bull The new student mindset Millennial students want learning opportunities delivered via a wide range of channels mdash especially online mdash and they want more input into their own learning processes
bull Leveraging the SMAC Stack Institutions are implementing SMAC technologies to deliver a learning experience that employs familiar technologies that students use in their everyday life They are also using the SMAC Stack to capture track and analyze Code Halos to obtain insight into the studentrsquos needs preferences and desires (see sidebar page 6)
bull The advancement of adaptive learning Adaptive learning is personalized to the studentrsquos abilities interests preferences and learning style
bull The emergence of new learning delivery models This includes blended models (which mix online and classroom instruction) and flipped models (in which classroom lectures can be ac-cessed virtually such as as through videos or online)
4 KEEP CHALLENGING March 2015
Not only is technology altering core business processes but the ways in which individuals use
technology to learn are shifting as well
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 5
The Future of Learning
Source Adapted from an infographic by KnowledgeWorks httpblogskqedorgmindshift201307what-the-future-of-learning-might-look-like
Figure 1
Communities will take ownership of learning in new ways blending with other activities
Social innovation will help address
resource constraints amp other challenges
Diverse forms of credentials will
reflect the many ways in which people learn
The workplace will evolve so rapidly that continuous
career readiness will be the norm
Learners will create individualized learning
playlists reflecting goals interests
Schools will adapt themselves to
new forms mdash self organized
Radical personalization will become the
new norm
Educatorsrsquo jobs will diversify as learning agents
A variety of digital networks platforms amp content resources will boost learning
Inception of rich data into learning tools will enable
learning transformation
New-Age Learning
Ecosystem
6 KEEP CHALLENGING March 2015
Reinventing the Student ExperienceGrowing volumes of information are available across the digital landscape and learning lifecycle including
bull Public information from social platforms such as personal interests and hobbies (including musical tastes and trips taken) Social data imbues the learner with color and dimension which drives new insights
bull Data obtained through student interactions with online coursework including from learning management systems (LMS) This includes data such as last log-in and time spent on content course progress and time spent on course modules intra-student communica-tions and scoresteacher feedback Such data can track student performance and whether intervention is needed
bull Information from third-party and government sources including educational statistics (such as educational spending institutional policies and rank majors infrastructure campus life etc)
Institutions of higher learning can use this data to gain insight into student preferences and learning styles (see Figure 2 next page) By tracking capturing and building upon the infor-mation gathered at every stage of the student lifecycle educational institutions can create a ldquostudent personardquo which they can then use to provide tailored services that benefit the student at various stages of his or her educational and professional life (see Figure 3 page 8)
Quick Take Code Halo Elements
Organizations need several foundational elements to create and distill meaning from Code Halos and then use those insights to develop next-generation approaches to learning
bull Data The raw material the fuel of Code Halos is data Big or small structured or unstructured all sorts of data can provide insights into learning behavior
bull Amplifiers Any device or platform that helps to create manage and share Code Halos is an amplifier With the proliferation of the Internet of Things (IoT) any wearable device (Google Glass a smartwatch) or mobile phone pro-vides an opportunity to amplify the learning experience8
bull Application interfaces The application interface is the presentation layer for user engagement (such as a Web browser specific application mobile app or any wearable device) For example Netflix interacts with its customers via its Web site and mobile app to present new content releases Institutions and software providers will be able to differentiate themselves not just on the basis of course content but also on the design and learning experience
For example Khan Academy offers personalized learning dashboards similar to the personalized pages on Netflix and Amazon to guide learners and provide relevant con-tent based on their learning path9
bull Algorithms The interfaces are powered by algorithms that personalize the learnerrsquos digital experience Used along with teacher and mentor engagement algorithm-based predictions can provide customized learning experi-ences based on the learnerrsquos needs and desires
Note Material in this sidebar was adapted from ldquoCode Halos How the Digital Lives of People Things and Organizations Are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
The Code Halo Effect in Higher Education
Figure 2
Retail
Libraries and Online Learning
Blogs
Travel
Information
Personalbull 18yearsoldinfirstyear
ofcollegepursuinganundergraddegreeMajorundecided
bullListenstoBustedMcFlyJLoXtinatracks
bullLikestotravelandblogherexperiences
Educational bullCompletedGrade9and10
withAPinMathematicsandEnglish
bullCompletedhighschoolwith36GPASAT1680
bullScholarshipawarded
Code Halo Analytics mdash Insights Generated bull Learning style through LMS history library track history assessment scores
queries posted scholarships applied for financial aid demographic data
bull Understanding of social patterns through blogs discussion forums tweets posts online book purchases
bull Entertainment patterns (interest around probability and trigonometry through online movies games interacted with)
bull Increased learner engagement through gamification patterns
LMSbullLastlogged-inandtimespent
oncontent
bullCourseprogressandtimespentoncoursemodules
bull Intra-studentcommunications
bullTeacherscoresfeedback
bullEnrollmentstatus
SIS bullStudentdatademographics
bullGradesandtranscripts
bullBehaviorrecords
bullSchedulingattendance
bullHealthandmedicalrecords
bullSpecialeducationneeds
bullFeesrecordscalculation
bullStudentlifecycledetails
CRMbullPersonalizedmarketing
content
bullBillinginformation
bullBehaviorrecords
bullEventsattendedbyprospectivestudents
bullPackagesandotherpricingoptions
Social and Behavioral
8 KEEP CHALLENGING March 2015
A New Role for Learning Management SystemsEven with the vast changes occurring in education the LMS will remain central to educational institutions In their current state however LMSs are used more as a tool for administrative efficiency with teachers primarily using them to distribute course content broadcast announce-ments initiate discussions and send e-mail The interactive learning component of the LMS does not customize the learning experience or promote the studentrsquos everyday communication pro-ductivity and collaborative abilities
For students these systems provide minimal adaption to learning styles are constrained by insti-tutional boundaries and donrsquot make use of insights from the studentrsquos social activities or other third-party data sources to construct the student persona
When LMSs interact with Code Halos however the learnerrsquos experience can be enriched from selecting the right college to choosing a major to identifying a mentor during school to finding a job after graduation In addition next-generation LMSs will include an adaptive learning component that tailors learning objects to the individual learner
Turning Code Halo Insights into Better Learning Experiences
Figure 3
K-12 Student
Higher Ed Prospect
Core Enrollment
Learning Experience
Graduation Deregistration
Professional Alumni
Student Life
K-12 Experience Points Student engagement Engagement increases as courses adapt to student strengths
Teacher empowerment Teachers can configure courses identify gaps and provide differentiated instruc-tion
College and career readiness Students can be measured on college and career readiness based on Common Core and other standards
Higher Ed Experience Points College match Students can be mapped to schools based on skills and college or university offerings
Collegepeers acquaintances Students can get to know peers at a more personal level
Programcourse help Students can get help deciding which courses will be most useful
Student learning environment A learner profile can be developed for personalizing learning and career help
Student riskintervention Measures can be taken to increase retention and degree completion rates
Professional Experience Points Job analysis Studentsemployees can align skills with current job role
Career pathways Individuals can manage career progress evaluate alternate career approaches identify what is needed to supplement current skill sets
Industry relationships Profes-sionals can use their network as a career catalyst
Virtuous communication with alma mater Alumni can mentorguide aspiring students to get a head start in pursuing their career paths
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
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Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
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Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
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Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
2 KEEP CHALLENGING March 20152 KEEP CHALLENGING March 2015
Executive SummaryHow students want to learn mdash and institutions need to teach mdash is
undergoing a total digital transformation Todayrsquos higher education
students demand more flexible personalized models of learning that
offer a higher return on investment and preparation for employment
in the 21st century workplace All stakeholders in the educational value
chain stand to benefit from this overhaul the more data that is collected
and analyzed the better synergy that can be created among students
educational institutions areas of study approaches to learning and
employment opportunities
The catalyst for the transformation is generational Millennial students
and their younger counterparts expect learning options that utilize the
advanced technologies that they as digital natives use every day as
well as learning experiences that are tailored to their particular needs
and objectives Toward that end institutions are employing social
mobile analytics and cloud technologies (aka the SMAC StackTM) to
develop the insights that lead to personalized and engaging learning
experiences
The transformation toward personalized and adaptive learning
experiences will be achieved by collecting and applying analytics to the
data surrounding students and other entities in the learning lifecycle
These digital footprints (what we call a Code HaloTM) are generated by
the online behaviors of and existing data about individuals institutions
learning processes and devices The meaning that can be derived in
this data is a ripe source for understanding and even predicting student
needs and optimally matching students with schools learning models
and employers
Code Halo thinking1 will enrich every aspect of the learning lifecycle
from admissions to coursework to job placement and lifelong education
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 3 ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 3
Forces Driving the Transformation of Learning Traditional educational models are at a crossroads With less than half of full-time students at public four-year colleges and universities in the US graduating within four years2 the higher education learning landscape is in need of serious modernization if not a full transformation
Public spending on education is lower than it has been historically3 as is parental satisfaction with cost graduation rates and return on investment4 With high unemployment levels among recent college grads5 the perceived ROI for a traditional college education is under intense scrutiny The value of higher education will remain an open question for the foreseeable future unless all stakeholders recognize that change is needed today All roads to the future of work in the US mdash and the developed world mdash pass through the education sector
Indeed the signposts of change are already visible with new-breed educational providers entering the market with affordable and innovative learning solutions For example massive open online courses (MOOCs)6 address a growing customer segment looking for an enriched cost-effective approach to learning Of course this is not just about earning a degree or certifi-cation but also about obtaining verifiable skills that lead to employment and higher pay
Evidence is also growing that adaptive learning models that are personalized to student needs are key to optimizing student performance In one study students who completed a course that matched their learning style spent significantly less time in the course and achieved on average the same grades as students who took a course that was mismatched with their learning styles or included all available learning content7
Even for traditional players interacting with students today requires utilizing and managing more channels of interaction than ever before The result of all these changes Higher education business models mdash tuition and net revenue models marketing enrollment strategy content dis-tribution and engagement of alumni networks mdash are evolving drastically Not only is technology altering core business processes but the ways in which individuals use technology to learn are shifting as well Figure 1 (next page) illustrates the new higher education learning ecosystem
Higher education is being disrupted by the intersection of several forces
bull The new student mindset Millennial students want learning opportunities delivered via a wide range of channels mdash especially online mdash and they want more input into their own learning processes
bull Leveraging the SMAC Stack Institutions are implementing SMAC technologies to deliver a learning experience that employs familiar technologies that students use in their everyday life They are also using the SMAC Stack to capture track and analyze Code Halos to obtain insight into the studentrsquos needs preferences and desires (see sidebar page 6)
bull The advancement of adaptive learning Adaptive learning is personalized to the studentrsquos abilities interests preferences and learning style
bull The emergence of new learning delivery models This includes blended models (which mix online and classroom instruction) and flipped models (in which classroom lectures can be ac-cessed virtually such as as through videos or online)
4 KEEP CHALLENGING March 2015
Not only is technology altering core business processes but the ways in which individuals use
technology to learn are shifting as well
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 5
The Future of Learning
Source Adapted from an infographic by KnowledgeWorks httpblogskqedorgmindshift201307what-the-future-of-learning-might-look-like
Figure 1
Communities will take ownership of learning in new ways blending with other activities
Social innovation will help address
resource constraints amp other challenges
Diverse forms of credentials will
reflect the many ways in which people learn
The workplace will evolve so rapidly that continuous
career readiness will be the norm
Learners will create individualized learning
playlists reflecting goals interests
Schools will adapt themselves to
new forms mdash self organized
Radical personalization will become the
new norm
Educatorsrsquo jobs will diversify as learning agents
A variety of digital networks platforms amp content resources will boost learning
Inception of rich data into learning tools will enable
learning transformation
New-Age Learning
Ecosystem
6 KEEP CHALLENGING March 2015
Reinventing the Student ExperienceGrowing volumes of information are available across the digital landscape and learning lifecycle including
bull Public information from social platforms such as personal interests and hobbies (including musical tastes and trips taken) Social data imbues the learner with color and dimension which drives new insights
bull Data obtained through student interactions with online coursework including from learning management systems (LMS) This includes data such as last log-in and time spent on content course progress and time spent on course modules intra-student communica-tions and scoresteacher feedback Such data can track student performance and whether intervention is needed
bull Information from third-party and government sources including educational statistics (such as educational spending institutional policies and rank majors infrastructure campus life etc)
Institutions of higher learning can use this data to gain insight into student preferences and learning styles (see Figure 2 next page) By tracking capturing and building upon the infor-mation gathered at every stage of the student lifecycle educational institutions can create a ldquostudent personardquo which they can then use to provide tailored services that benefit the student at various stages of his or her educational and professional life (see Figure 3 page 8)
Quick Take Code Halo Elements
Organizations need several foundational elements to create and distill meaning from Code Halos and then use those insights to develop next-generation approaches to learning
bull Data The raw material the fuel of Code Halos is data Big or small structured or unstructured all sorts of data can provide insights into learning behavior
bull Amplifiers Any device or platform that helps to create manage and share Code Halos is an amplifier With the proliferation of the Internet of Things (IoT) any wearable device (Google Glass a smartwatch) or mobile phone pro-vides an opportunity to amplify the learning experience8
bull Application interfaces The application interface is the presentation layer for user engagement (such as a Web browser specific application mobile app or any wearable device) For example Netflix interacts with its customers via its Web site and mobile app to present new content releases Institutions and software providers will be able to differentiate themselves not just on the basis of course content but also on the design and learning experience
For example Khan Academy offers personalized learning dashboards similar to the personalized pages on Netflix and Amazon to guide learners and provide relevant con-tent based on their learning path9
bull Algorithms The interfaces are powered by algorithms that personalize the learnerrsquos digital experience Used along with teacher and mentor engagement algorithm-based predictions can provide customized learning experi-ences based on the learnerrsquos needs and desires
Note Material in this sidebar was adapted from ldquoCode Halos How the Digital Lives of People Things and Organizations Are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
The Code Halo Effect in Higher Education
Figure 2
Retail
Libraries and Online Learning
Blogs
Travel
Information
Personalbull 18yearsoldinfirstyear
ofcollegepursuinganundergraddegreeMajorundecided
bullListenstoBustedMcFlyJLoXtinatracks
bullLikestotravelandblogherexperiences
Educational bullCompletedGrade9and10
withAPinMathematicsandEnglish
bullCompletedhighschoolwith36GPASAT1680
bullScholarshipawarded
Code Halo Analytics mdash Insights Generated bull Learning style through LMS history library track history assessment scores
queries posted scholarships applied for financial aid demographic data
bull Understanding of social patterns through blogs discussion forums tweets posts online book purchases
bull Entertainment patterns (interest around probability and trigonometry through online movies games interacted with)
bull Increased learner engagement through gamification patterns
LMSbullLastlogged-inandtimespent
oncontent
bullCourseprogressandtimespentoncoursemodules
bull Intra-studentcommunications
bullTeacherscoresfeedback
bullEnrollmentstatus
SIS bullStudentdatademographics
bullGradesandtranscripts
bullBehaviorrecords
bullSchedulingattendance
bullHealthandmedicalrecords
bullSpecialeducationneeds
bullFeesrecordscalculation
bullStudentlifecycledetails
CRMbullPersonalizedmarketing
content
bullBillinginformation
bullBehaviorrecords
bullEventsattendedbyprospectivestudents
bullPackagesandotherpricingoptions
Social and Behavioral
8 KEEP CHALLENGING March 2015
A New Role for Learning Management SystemsEven with the vast changes occurring in education the LMS will remain central to educational institutions In their current state however LMSs are used more as a tool for administrative efficiency with teachers primarily using them to distribute course content broadcast announce-ments initiate discussions and send e-mail The interactive learning component of the LMS does not customize the learning experience or promote the studentrsquos everyday communication pro-ductivity and collaborative abilities
For students these systems provide minimal adaption to learning styles are constrained by insti-tutional boundaries and donrsquot make use of insights from the studentrsquos social activities or other third-party data sources to construct the student persona
When LMSs interact with Code Halos however the learnerrsquos experience can be enriched from selecting the right college to choosing a major to identifying a mentor during school to finding a job after graduation In addition next-generation LMSs will include an adaptive learning component that tailors learning objects to the individual learner
Turning Code Halo Insights into Better Learning Experiences
Figure 3
K-12 Student
Higher Ed Prospect
Core Enrollment
Learning Experience
Graduation Deregistration
Professional Alumni
Student Life
K-12 Experience Points Student engagement Engagement increases as courses adapt to student strengths
Teacher empowerment Teachers can configure courses identify gaps and provide differentiated instruc-tion
College and career readiness Students can be measured on college and career readiness based on Common Core and other standards
Higher Ed Experience Points College match Students can be mapped to schools based on skills and college or university offerings
Collegepeers acquaintances Students can get to know peers at a more personal level
Programcourse help Students can get help deciding which courses will be most useful
Student learning environment A learner profile can be developed for personalizing learning and career help
Student riskintervention Measures can be taken to increase retention and degree completion rates
Professional Experience Points Job analysis Studentsemployees can align skills with current job role
Career pathways Individuals can manage career progress evaluate alternate career approaches identify what is needed to supplement current skill sets
Industry relationships Profes-sionals can use their network as a career catalyst
Virtuous communication with alma mater Alumni can mentorguide aspiring students to get a head start in pursuing their career paths
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
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inquirycognizantcom
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Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
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Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
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copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 3 ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 3
Forces Driving the Transformation of Learning Traditional educational models are at a crossroads With less than half of full-time students at public four-year colleges and universities in the US graduating within four years2 the higher education learning landscape is in need of serious modernization if not a full transformation
Public spending on education is lower than it has been historically3 as is parental satisfaction with cost graduation rates and return on investment4 With high unemployment levels among recent college grads5 the perceived ROI for a traditional college education is under intense scrutiny The value of higher education will remain an open question for the foreseeable future unless all stakeholders recognize that change is needed today All roads to the future of work in the US mdash and the developed world mdash pass through the education sector
Indeed the signposts of change are already visible with new-breed educational providers entering the market with affordable and innovative learning solutions For example massive open online courses (MOOCs)6 address a growing customer segment looking for an enriched cost-effective approach to learning Of course this is not just about earning a degree or certifi-cation but also about obtaining verifiable skills that lead to employment and higher pay
Evidence is also growing that adaptive learning models that are personalized to student needs are key to optimizing student performance In one study students who completed a course that matched their learning style spent significantly less time in the course and achieved on average the same grades as students who took a course that was mismatched with their learning styles or included all available learning content7
Even for traditional players interacting with students today requires utilizing and managing more channels of interaction than ever before The result of all these changes Higher education business models mdash tuition and net revenue models marketing enrollment strategy content dis-tribution and engagement of alumni networks mdash are evolving drastically Not only is technology altering core business processes but the ways in which individuals use technology to learn are shifting as well Figure 1 (next page) illustrates the new higher education learning ecosystem
Higher education is being disrupted by the intersection of several forces
bull The new student mindset Millennial students want learning opportunities delivered via a wide range of channels mdash especially online mdash and they want more input into their own learning processes
bull Leveraging the SMAC Stack Institutions are implementing SMAC technologies to deliver a learning experience that employs familiar technologies that students use in their everyday life They are also using the SMAC Stack to capture track and analyze Code Halos to obtain insight into the studentrsquos needs preferences and desires (see sidebar page 6)
bull The advancement of adaptive learning Adaptive learning is personalized to the studentrsquos abilities interests preferences and learning style
bull The emergence of new learning delivery models This includes blended models (which mix online and classroom instruction) and flipped models (in which classroom lectures can be ac-cessed virtually such as as through videos or online)
4 KEEP CHALLENGING March 2015
Not only is technology altering core business processes but the ways in which individuals use
technology to learn are shifting as well
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 5
The Future of Learning
Source Adapted from an infographic by KnowledgeWorks httpblogskqedorgmindshift201307what-the-future-of-learning-might-look-like
Figure 1
Communities will take ownership of learning in new ways blending with other activities
Social innovation will help address
resource constraints amp other challenges
Diverse forms of credentials will
reflect the many ways in which people learn
The workplace will evolve so rapidly that continuous
career readiness will be the norm
Learners will create individualized learning
playlists reflecting goals interests
Schools will adapt themselves to
new forms mdash self organized
Radical personalization will become the
new norm
Educatorsrsquo jobs will diversify as learning agents
A variety of digital networks platforms amp content resources will boost learning
Inception of rich data into learning tools will enable
learning transformation
New-Age Learning
Ecosystem
6 KEEP CHALLENGING March 2015
Reinventing the Student ExperienceGrowing volumes of information are available across the digital landscape and learning lifecycle including
bull Public information from social platforms such as personal interests and hobbies (including musical tastes and trips taken) Social data imbues the learner with color and dimension which drives new insights
bull Data obtained through student interactions with online coursework including from learning management systems (LMS) This includes data such as last log-in and time spent on content course progress and time spent on course modules intra-student communica-tions and scoresteacher feedback Such data can track student performance and whether intervention is needed
bull Information from third-party and government sources including educational statistics (such as educational spending institutional policies and rank majors infrastructure campus life etc)
Institutions of higher learning can use this data to gain insight into student preferences and learning styles (see Figure 2 next page) By tracking capturing and building upon the infor-mation gathered at every stage of the student lifecycle educational institutions can create a ldquostudent personardquo which they can then use to provide tailored services that benefit the student at various stages of his or her educational and professional life (see Figure 3 page 8)
Quick Take Code Halo Elements
Organizations need several foundational elements to create and distill meaning from Code Halos and then use those insights to develop next-generation approaches to learning
bull Data The raw material the fuel of Code Halos is data Big or small structured or unstructured all sorts of data can provide insights into learning behavior
bull Amplifiers Any device or platform that helps to create manage and share Code Halos is an amplifier With the proliferation of the Internet of Things (IoT) any wearable device (Google Glass a smartwatch) or mobile phone pro-vides an opportunity to amplify the learning experience8
bull Application interfaces The application interface is the presentation layer for user engagement (such as a Web browser specific application mobile app or any wearable device) For example Netflix interacts with its customers via its Web site and mobile app to present new content releases Institutions and software providers will be able to differentiate themselves not just on the basis of course content but also on the design and learning experience
For example Khan Academy offers personalized learning dashboards similar to the personalized pages on Netflix and Amazon to guide learners and provide relevant con-tent based on their learning path9
bull Algorithms The interfaces are powered by algorithms that personalize the learnerrsquos digital experience Used along with teacher and mentor engagement algorithm-based predictions can provide customized learning experi-ences based on the learnerrsquos needs and desires
Note Material in this sidebar was adapted from ldquoCode Halos How the Digital Lives of People Things and Organizations Are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
The Code Halo Effect in Higher Education
Figure 2
Retail
Libraries and Online Learning
Blogs
Travel
Information
Personalbull 18yearsoldinfirstyear
ofcollegepursuinganundergraddegreeMajorundecided
bullListenstoBustedMcFlyJLoXtinatracks
bullLikestotravelandblogherexperiences
Educational bullCompletedGrade9and10
withAPinMathematicsandEnglish
bullCompletedhighschoolwith36GPASAT1680
bullScholarshipawarded
Code Halo Analytics mdash Insights Generated bull Learning style through LMS history library track history assessment scores
queries posted scholarships applied for financial aid demographic data
bull Understanding of social patterns through blogs discussion forums tweets posts online book purchases
bull Entertainment patterns (interest around probability and trigonometry through online movies games interacted with)
bull Increased learner engagement through gamification patterns
LMSbullLastlogged-inandtimespent
oncontent
bullCourseprogressandtimespentoncoursemodules
bull Intra-studentcommunications
bullTeacherscoresfeedback
bullEnrollmentstatus
SIS bullStudentdatademographics
bullGradesandtranscripts
bullBehaviorrecords
bullSchedulingattendance
bullHealthandmedicalrecords
bullSpecialeducationneeds
bullFeesrecordscalculation
bullStudentlifecycledetails
CRMbullPersonalizedmarketing
content
bullBillinginformation
bullBehaviorrecords
bullEventsattendedbyprospectivestudents
bullPackagesandotherpricingoptions
Social and Behavioral
8 KEEP CHALLENGING March 2015
A New Role for Learning Management SystemsEven with the vast changes occurring in education the LMS will remain central to educational institutions In their current state however LMSs are used more as a tool for administrative efficiency with teachers primarily using them to distribute course content broadcast announce-ments initiate discussions and send e-mail The interactive learning component of the LMS does not customize the learning experience or promote the studentrsquos everyday communication pro-ductivity and collaborative abilities
For students these systems provide minimal adaption to learning styles are constrained by insti-tutional boundaries and donrsquot make use of insights from the studentrsquos social activities or other third-party data sources to construct the student persona
When LMSs interact with Code Halos however the learnerrsquos experience can be enriched from selecting the right college to choosing a major to identifying a mentor during school to finding a job after graduation In addition next-generation LMSs will include an adaptive learning component that tailors learning objects to the individual learner
Turning Code Halo Insights into Better Learning Experiences
Figure 3
K-12 Student
Higher Ed Prospect
Core Enrollment
Learning Experience
Graduation Deregistration
Professional Alumni
Student Life
K-12 Experience Points Student engagement Engagement increases as courses adapt to student strengths
Teacher empowerment Teachers can configure courses identify gaps and provide differentiated instruc-tion
College and career readiness Students can be measured on college and career readiness based on Common Core and other standards
Higher Ed Experience Points College match Students can be mapped to schools based on skills and college or university offerings
Collegepeers acquaintances Students can get to know peers at a more personal level
Programcourse help Students can get help deciding which courses will be most useful
Student learning environment A learner profile can be developed for personalizing learning and career help
Student riskintervention Measures can be taken to increase retention and degree completion rates
Professional Experience Points Job analysis Studentsemployees can align skills with current job role
Career pathways Individuals can manage career progress evaluate alternate career approaches identify what is needed to supplement current skill sets
Industry relationships Profes-sionals can use their network as a career catalyst
Virtuous communication with alma mater Alumni can mentorguide aspiring students to get a head start in pursuing their career paths
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
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Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
Forces Driving the Transformation of Learning Traditional educational models are at a crossroads With less than half of full-time students at public four-year colleges and universities in the US graduating within four years2 the higher education learning landscape is in need of serious modernization if not a full transformation
Public spending on education is lower than it has been historically3 as is parental satisfaction with cost graduation rates and return on investment4 With high unemployment levels among recent college grads5 the perceived ROI for a traditional college education is under intense scrutiny The value of higher education will remain an open question for the foreseeable future unless all stakeholders recognize that change is needed today All roads to the future of work in the US mdash and the developed world mdash pass through the education sector
Indeed the signposts of change are already visible with new-breed educational providers entering the market with affordable and innovative learning solutions For example massive open online courses (MOOCs)6 address a growing customer segment looking for an enriched cost-effective approach to learning Of course this is not just about earning a degree or certifi-cation but also about obtaining verifiable skills that lead to employment and higher pay
Evidence is also growing that adaptive learning models that are personalized to student needs are key to optimizing student performance In one study students who completed a course that matched their learning style spent significantly less time in the course and achieved on average the same grades as students who took a course that was mismatched with their learning styles or included all available learning content7
Even for traditional players interacting with students today requires utilizing and managing more channels of interaction than ever before The result of all these changes Higher education business models mdash tuition and net revenue models marketing enrollment strategy content dis-tribution and engagement of alumni networks mdash are evolving drastically Not only is technology altering core business processes but the ways in which individuals use technology to learn are shifting as well Figure 1 (next page) illustrates the new higher education learning ecosystem
Higher education is being disrupted by the intersection of several forces
bull The new student mindset Millennial students want learning opportunities delivered via a wide range of channels mdash especially online mdash and they want more input into their own learning processes
bull Leveraging the SMAC Stack Institutions are implementing SMAC technologies to deliver a learning experience that employs familiar technologies that students use in their everyday life They are also using the SMAC Stack to capture track and analyze Code Halos to obtain insight into the studentrsquos needs preferences and desires (see sidebar page 6)
bull The advancement of adaptive learning Adaptive learning is personalized to the studentrsquos abilities interests preferences and learning style
bull The emergence of new learning delivery models This includes blended models (which mix online and classroom instruction) and flipped models (in which classroom lectures can be ac-cessed virtually such as as through videos or online)
4 KEEP CHALLENGING March 2015
Not only is technology altering core business processes but the ways in which individuals use
technology to learn are shifting as well
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 5
The Future of Learning
Source Adapted from an infographic by KnowledgeWorks httpblogskqedorgmindshift201307what-the-future-of-learning-might-look-like
Figure 1
Communities will take ownership of learning in new ways blending with other activities
Social innovation will help address
resource constraints amp other challenges
Diverse forms of credentials will
reflect the many ways in which people learn
The workplace will evolve so rapidly that continuous
career readiness will be the norm
Learners will create individualized learning
playlists reflecting goals interests
Schools will adapt themselves to
new forms mdash self organized
Radical personalization will become the
new norm
Educatorsrsquo jobs will diversify as learning agents
A variety of digital networks platforms amp content resources will boost learning
Inception of rich data into learning tools will enable
learning transformation
New-Age Learning
Ecosystem
6 KEEP CHALLENGING March 2015
Reinventing the Student ExperienceGrowing volumes of information are available across the digital landscape and learning lifecycle including
bull Public information from social platforms such as personal interests and hobbies (including musical tastes and trips taken) Social data imbues the learner with color and dimension which drives new insights
bull Data obtained through student interactions with online coursework including from learning management systems (LMS) This includes data such as last log-in and time spent on content course progress and time spent on course modules intra-student communica-tions and scoresteacher feedback Such data can track student performance and whether intervention is needed
bull Information from third-party and government sources including educational statistics (such as educational spending institutional policies and rank majors infrastructure campus life etc)
Institutions of higher learning can use this data to gain insight into student preferences and learning styles (see Figure 2 next page) By tracking capturing and building upon the infor-mation gathered at every stage of the student lifecycle educational institutions can create a ldquostudent personardquo which they can then use to provide tailored services that benefit the student at various stages of his or her educational and professional life (see Figure 3 page 8)
Quick Take Code Halo Elements
Organizations need several foundational elements to create and distill meaning from Code Halos and then use those insights to develop next-generation approaches to learning
bull Data The raw material the fuel of Code Halos is data Big or small structured or unstructured all sorts of data can provide insights into learning behavior
bull Amplifiers Any device or platform that helps to create manage and share Code Halos is an amplifier With the proliferation of the Internet of Things (IoT) any wearable device (Google Glass a smartwatch) or mobile phone pro-vides an opportunity to amplify the learning experience8
bull Application interfaces The application interface is the presentation layer for user engagement (such as a Web browser specific application mobile app or any wearable device) For example Netflix interacts with its customers via its Web site and mobile app to present new content releases Institutions and software providers will be able to differentiate themselves not just on the basis of course content but also on the design and learning experience
For example Khan Academy offers personalized learning dashboards similar to the personalized pages on Netflix and Amazon to guide learners and provide relevant con-tent based on their learning path9
bull Algorithms The interfaces are powered by algorithms that personalize the learnerrsquos digital experience Used along with teacher and mentor engagement algorithm-based predictions can provide customized learning experi-ences based on the learnerrsquos needs and desires
Note Material in this sidebar was adapted from ldquoCode Halos How the Digital Lives of People Things and Organizations Are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
The Code Halo Effect in Higher Education
Figure 2
Retail
Libraries and Online Learning
Blogs
Travel
Information
Personalbull 18yearsoldinfirstyear
ofcollegepursuinganundergraddegreeMajorundecided
bullListenstoBustedMcFlyJLoXtinatracks
bullLikestotravelandblogherexperiences
Educational bullCompletedGrade9and10
withAPinMathematicsandEnglish
bullCompletedhighschoolwith36GPASAT1680
bullScholarshipawarded
Code Halo Analytics mdash Insights Generated bull Learning style through LMS history library track history assessment scores
queries posted scholarships applied for financial aid demographic data
bull Understanding of social patterns through blogs discussion forums tweets posts online book purchases
bull Entertainment patterns (interest around probability and trigonometry through online movies games interacted with)
bull Increased learner engagement through gamification patterns
LMSbullLastlogged-inandtimespent
oncontent
bullCourseprogressandtimespentoncoursemodules
bull Intra-studentcommunications
bullTeacherscoresfeedback
bullEnrollmentstatus
SIS bullStudentdatademographics
bullGradesandtranscripts
bullBehaviorrecords
bullSchedulingattendance
bullHealthandmedicalrecords
bullSpecialeducationneeds
bullFeesrecordscalculation
bullStudentlifecycledetails
CRMbullPersonalizedmarketing
content
bullBillinginformation
bullBehaviorrecords
bullEventsattendedbyprospectivestudents
bullPackagesandotherpricingoptions
Social and Behavioral
8 KEEP CHALLENGING March 2015
A New Role for Learning Management SystemsEven with the vast changes occurring in education the LMS will remain central to educational institutions In their current state however LMSs are used more as a tool for administrative efficiency with teachers primarily using them to distribute course content broadcast announce-ments initiate discussions and send e-mail The interactive learning component of the LMS does not customize the learning experience or promote the studentrsquos everyday communication pro-ductivity and collaborative abilities
For students these systems provide minimal adaption to learning styles are constrained by insti-tutional boundaries and donrsquot make use of insights from the studentrsquos social activities or other third-party data sources to construct the student persona
When LMSs interact with Code Halos however the learnerrsquos experience can be enriched from selecting the right college to choosing a major to identifying a mentor during school to finding a job after graduation In addition next-generation LMSs will include an adaptive learning component that tailors learning objects to the individual learner
Turning Code Halo Insights into Better Learning Experiences
Figure 3
K-12 Student
Higher Ed Prospect
Core Enrollment
Learning Experience
Graduation Deregistration
Professional Alumni
Student Life
K-12 Experience Points Student engagement Engagement increases as courses adapt to student strengths
Teacher empowerment Teachers can configure courses identify gaps and provide differentiated instruc-tion
College and career readiness Students can be measured on college and career readiness based on Common Core and other standards
Higher Ed Experience Points College match Students can be mapped to schools based on skills and college or university offerings
Collegepeers acquaintances Students can get to know peers at a more personal level
Programcourse help Students can get help deciding which courses will be most useful
Student learning environment A learner profile can be developed for personalizing learning and career help
Student riskintervention Measures can be taken to increase retention and degree completion rates
Professional Experience Points Job analysis Studentsemployees can align skills with current job role
Career pathways Individuals can manage career progress evaluate alternate career approaches identify what is needed to supplement current skill sets
Industry relationships Profes-sionals can use their network as a career catalyst
Virtuous communication with alma mater Alumni can mentorguide aspiring students to get a head start in pursuing their career paths
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 5
The Future of Learning
Source Adapted from an infographic by KnowledgeWorks httpblogskqedorgmindshift201307what-the-future-of-learning-might-look-like
Figure 1
Communities will take ownership of learning in new ways blending with other activities
Social innovation will help address
resource constraints amp other challenges
Diverse forms of credentials will
reflect the many ways in which people learn
The workplace will evolve so rapidly that continuous
career readiness will be the norm
Learners will create individualized learning
playlists reflecting goals interests
Schools will adapt themselves to
new forms mdash self organized
Radical personalization will become the
new norm
Educatorsrsquo jobs will diversify as learning agents
A variety of digital networks platforms amp content resources will boost learning
Inception of rich data into learning tools will enable
learning transformation
New-Age Learning
Ecosystem
6 KEEP CHALLENGING March 2015
Reinventing the Student ExperienceGrowing volumes of information are available across the digital landscape and learning lifecycle including
bull Public information from social platforms such as personal interests and hobbies (including musical tastes and trips taken) Social data imbues the learner with color and dimension which drives new insights
bull Data obtained through student interactions with online coursework including from learning management systems (LMS) This includes data such as last log-in and time spent on content course progress and time spent on course modules intra-student communica-tions and scoresteacher feedback Such data can track student performance and whether intervention is needed
bull Information from third-party and government sources including educational statistics (such as educational spending institutional policies and rank majors infrastructure campus life etc)
Institutions of higher learning can use this data to gain insight into student preferences and learning styles (see Figure 2 next page) By tracking capturing and building upon the infor-mation gathered at every stage of the student lifecycle educational institutions can create a ldquostudent personardquo which they can then use to provide tailored services that benefit the student at various stages of his or her educational and professional life (see Figure 3 page 8)
Quick Take Code Halo Elements
Organizations need several foundational elements to create and distill meaning from Code Halos and then use those insights to develop next-generation approaches to learning
bull Data The raw material the fuel of Code Halos is data Big or small structured or unstructured all sorts of data can provide insights into learning behavior
bull Amplifiers Any device or platform that helps to create manage and share Code Halos is an amplifier With the proliferation of the Internet of Things (IoT) any wearable device (Google Glass a smartwatch) or mobile phone pro-vides an opportunity to amplify the learning experience8
bull Application interfaces The application interface is the presentation layer for user engagement (such as a Web browser specific application mobile app or any wearable device) For example Netflix interacts with its customers via its Web site and mobile app to present new content releases Institutions and software providers will be able to differentiate themselves not just on the basis of course content but also on the design and learning experience
For example Khan Academy offers personalized learning dashboards similar to the personalized pages on Netflix and Amazon to guide learners and provide relevant con-tent based on their learning path9
bull Algorithms The interfaces are powered by algorithms that personalize the learnerrsquos digital experience Used along with teacher and mentor engagement algorithm-based predictions can provide customized learning experi-ences based on the learnerrsquos needs and desires
Note Material in this sidebar was adapted from ldquoCode Halos How the Digital Lives of People Things and Organizations Are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
The Code Halo Effect in Higher Education
Figure 2
Retail
Libraries and Online Learning
Blogs
Travel
Information
Personalbull 18yearsoldinfirstyear
ofcollegepursuinganundergraddegreeMajorundecided
bullListenstoBustedMcFlyJLoXtinatracks
bullLikestotravelandblogherexperiences
Educational bullCompletedGrade9and10
withAPinMathematicsandEnglish
bullCompletedhighschoolwith36GPASAT1680
bullScholarshipawarded
Code Halo Analytics mdash Insights Generated bull Learning style through LMS history library track history assessment scores
queries posted scholarships applied for financial aid demographic data
bull Understanding of social patterns through blogs discussion forums tweets posts online book purchases
bull Entertainment patterns (interest around probability and trigonometry through online movies games interacted with)
bull Increased learner engagement through gamification patterns
LMSbullLastlogged-inandtimespent
oncontent
bullCourseprogressandtimespentoncoursemodules
bull Intra-studentcommunications
bullTeacherscoresfeedback
bullEnrollmentstatus
SIS bullStudentdatademographics
bullGradesandtranscripts
bullBehaviorrecords
bullSchedulingattendance
bullHealthandmedicalrecords
bullSpecialeducationneeds
bullFeesrecordscalculation
bullStudentlifecycledetails
CRMbullPersonalizedmarketing
content
bullBillinginformation
bullBehaviorrecords
bullEventsattendedbyprospectivestudents
bullPackagesandotherpricingoptions
Social and Behavioral
8 KEEP CHALLENGING March 2015
A New Role for Learning Management SystemsEven with the vast changes occurring in education the LMS will remain central to educational institutions In their current state however LMSs are used more as a tool for administrative efficiency with teachers primarily using them to distribute course content broadcast announce-ments initiate discussions and send e-mail The interactive learning component of the LMS does not customize the learning experience or promote the studentrsquos everyday communication pro-ductivity and collaborative abilities
For students these systems provide minimal adaption to learning styles are constrained by insti-tutional boundaries and donrsquot make use of insights from the studentrsquos social activities or other third-party data sources to construct the student persona
When LMSs interact with Code Halos however the learnerrsquos experience can be enriched from selecting the right college to choosing a major to identifying a mentor during school to finding a job after graduation In addition next-generation LMSs will include an adaptive learning component that tailors learning objects to the individual learner
Turning Code Halo Insights into Better Learning Experiences
Figure 3
K-12 Student
Higher Ed Prospect
Core Enrollment
Learning Experience
Graduation Deregistration
Professional Alumni
Student Life
K-12 Experience Points Student engagement Engagement increases as courses adapt to student strengths
Teacher empowerment Teachers can configure courses identify gaps and provide differentiated instruc-tion
College and career readiness Students can be measured on college and career readiness based on Common Core and other standards
Higher Ed Experience Points College match Students can be mapped to schools based on skills and college or university offerings
Collegepeers acquaintances Students can get to know peers at a more personal level
Programcourse help Students can get help deciding which courses will be most useful
Student learning environment A learner profile can be developed for personalizing learning and career help
Student riskintervention Measures can be taken to increase retention and degree completion rates
Professional Experience Points Job analysis Studentsemployees can align skills with current job role
Career pathways Individuals can manage career progress evaluate alternate career approaches identify what is needed to supplement current skill sets
Industry relationships Profes-sionals can use their network as a career catalyst
Virtuous communication with alma mater Alumni can mentorguide aspiring students to get a head start in pursuing their career paths
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
6 KEEP CHALLENGING March 2015
Reinventing the Student ExperienceGrowing volumes of information are available across the digital landscape and learning lifecycle including
bull Public information from social platforms such as personal interests and hobbies (including musical tastes and trips taken) Social data imbues the learner with color and dimension which drives new insights
bull Data obtained through student interactions with online coursework including from learning management systems (LMS) This includes data such as last log-in and time spent on content course progress and time spent on course modules intra-student communica-tions and scoresteacher feedback Such data can track student performance and whether intervention is needed
bull Information from third-party and government sources including educational statistics (such as educational spending institutional policies and rank majors infrastructure campus life etc)
Institutions of higher learning can use this data to gain insight into student preferences and learning styles (see Figure 2 next page) By tracking capturing and building upon the infor-mation gathered at every stage of the student lifecycle educational institutions can create a ldquostudent personardquo which they can then use to provide tailored services that benefit the student at various stages of his or her educational and professional life (see Figure 3 page 8)
Quick Take Code Halo Elements
Organizations need several foundational elements to create and distill meaning from Code Halos and then use those insights to develop next-generation approaches to learning
bull Data The raw material the fuel of Code Halos is data Big or small structured or unstructured all sorts of data can provide insights into learning behavior
bull Amplifiers Any device or platform that helps to create manage and share Code Halos is an amplifier With the proliferation of the Internet of Things (IoT) any wearable device (Google Glass a smartwatch) or mobile phone pro-vides an opportunity to amplify the learning experience8
bull Application interfaces The application interface is the presentation layer for user engagement (such as a Web browser specific application mobile app or any wearable device) For example Netflix interacts with its customers via its Web site and mobile app to present new content releases Institutions and software providers will be able to differentiate themselves not just on the basis of course content but also on the design and learning experience
For example Khan Academy offers personalized learning dashboards similar to the personalized pages on Netflix and Amazon to guide learners and provide relevant con-tent based on their learning path9
bull Algorithms The interfaces are powered by algorithms that personalize the learnerrsquos digital experience Used along with teacher and mentor engagement algorithm-based predictions can provide customized learning experi-ences based on the learnerrsquos needs and desires
Note Material in this sidebar was adapted from ldquoCode Halos How the Digital Lives of People Things and Organizations Are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
The Code Halo Effect in Higher Education
Figure 2
Retail
Libraries and Online Learning
Blogs
Travel
Information
Personalbull 18yearsoldinfirstyear
ofcollegepursuinganundergraddegreeMajorundecided
bullListenstoBustedMcFlyJLoXtinatracks
bullLikestotravelandblogherexperiences
Educational bullCompletedGrade9and10
withAPinMathematicsandEnglish
bullCompletedhighschoolwith36GPASAT1680
bullScholarshipawarded
Code Halo Analytics mdash Insights Generated bull Learning style through LMS history library track history assessment scores
queries posted scholarships applied for financial aid demographic data
bull Understanding of social patterns through blogs discussion forums tweets posts online book purchases
bull Entertainment patterns (interest around probability and trigonometry through online movies games interacted with)
bull Increased learner engagement through gamification patterns
LMSbullLastlogged-inandtimespent
oncontent
bullCourseprogressandtimespentoncoursemodules
bull Intra-studentcommunications
bullTeacherscoresfeedback
bullEnrollmentstatus
SIS bullStudentdatademographics
bullGradesandtranscripts
bullBehaviorrecords
bullSchedulingattendance
bullHealthandmedicalrecords
bullSpecialeducationneeds
bullFeesrecordscalculation
bullStudentlifecycledetails
CRMbullPersonalizedmarketing
content
bullBillinginformation
bullBehaviorrecords
bullEventsattendedbyprospectivestudents
bullPackagesandotherpricingoptions
Social and Behavioral
8 KEEP CHALLENGING March 2015
A New Role for Learning Management SystemsEven with the vast changes occurring in education the LMS will remain central to educational institutions In their current state however LMSs are used more as a tool for administrative efficiency with teachers primarily using them to distribute course content broadcast announce-ments initiate discussions and send e-mail The interactive learning component of the LMS does not customize the learning experience or promote the studentrsquos everyday communication pro-ductivity and collaborative abilities
For students these systems provide minimal adaption to learning styles are constrained by insti-tutional boundaries and donrsquot make use of insights from the studentrsquos social activities or other third-party data sources to construct the student persona
When LMSs interact with Code Halos however the learnerrsquos experience can be enriched from selecting the right college to choosing a major to identifying a mentor during school to finding a job after graduation In addition next-generation LMSs will include an adaptive learning component that tailors learning objects to the individual learner
Turning Code Halo Insights into Better Learning Experiences
Figure 3
K-12 Student
Higher Ed Prospect
Core Enrollment
Learning Experience
Graduation Deregistration
Professional Alumni
Student Life
K-12 Experience Points Student engagement Engagement increases as courses adapt to student strengths
Teacher empowerment Teachers can configure courses identify gaps and provide differentiated instruc-tion
College and career readiness Students can be measured on college and career readiness based on Common Core and other standards
Higher Ed Experience Points College match Students can be mapped to schools based on skills and college or university offerings
Collegepeers acquaintances Students can get to know peers at a more personal level
Programcourse help Students can get help deciding which courses will be most useful
Student learning environment A learner profile can be developed for personalizing learning and career help
Student riskintervention Measures can be taken to increase retention and degree completion rates
Professional Experience Points Job analysis Studentsemployees can align skills with current job role
Career pathways Individuals can manage career progress evaluate alternate career approaches identify what is needed to supplement current skill sets
Industry relationships Profes-sionals can use their network as a career catalyst
Virtuous communication with alma mater Alumni can mentorguide aspiring students to get a head start in pursuing their career paths
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
The Code Halo Effect in Higher Education
Figure 2
Retail
Libraries and Online Learning
Blogs
Travel
Information
Personalbull 18yearsoldinfirstyear
ofcollegepursuinganundergraddegreeMajorundecided
bullListenstoBustedMcFlyJLoXtinatracks
bullLikestotravelandblogherexperiences
Educational bullCompletedGrade9and10
withAPinMathematicsandEnglish
bullCompletedhighschoolwith36GPASAT1680
bullScholarshipawarded
Code Halo Analytics mdash Insights Generated bull Learning style through LMS history library track history assessment scores
queries posted scholarships applied for financial aid demographic data
bull Understanding of social patterns through blogs discussion forums tweets posts online book purchases
bull Entertainment patterns (interest around probability and trigonometry through online movies games interacted with)
bull Increased learner engagement through gamification patterns
LMSbullLastlogged-inandtimespent
oncontent
bullCourseprogressandtimespentoncoursemodules
bull Intra-studentcommunications
bullTeacherscoresfeedback
bullEnrollmentstatus
SIS bullStudentdatademographics
bullGradesandtranscripts
bullBehaviorrecords
bullSchedulingattendance
bullHealthandmedicalrecords
bullSpecialeducationneeds
bullFeesrecordscalculation
bullStudentlifecycledetails
CRMbullPersonalizedmarketing
content
bullBillinginformation
bullBehaviorrecords
bullEventsattendedbyprospectivestudents
bullPackagesandotherpricingoptions
Social and Behavioral
8 KEEP CHALLENGING March 2015
A New Role for Learning Management SystemsEven with the vast changes occurring in education the LMS will remain central to educational institutions In their current state however LMSs are used more as a tool for administrative efficiency with teachers primarily using them to distribute course content broadcast announce-ments initiate discussions and send e-mail The interactive learning component of the LMS does not customize the learning experience or promote the studentrsquos everyday communication pro-ductivity and collaborative abilities
For students these systems provide minimal adaption to learning styles are constrained by insti-tutional boundaries and donrsquot make use of insights from the studentrsquos social activities or other third-party data sources to construct the student persona
When LMSs interact with Code Halos however the learnerrsquos experience can be enriched from selecting the right college to choosing a major to identifying a mentor during school to finding a job after graduation In addition next-generation LMSs will include an adaptive learning component that tailors learning objects to the individual learner
Turning Code Halo Insights into Better Learning Experiences
Figure 3
K-12 Student
Higher Ed Prospect
Core Enrollment
Learning Experience
Graduation Deregistration
Professional Alumni
Student Life
K-12 Experience Points Student engagement Engagement increases as courses adapt to student strengths
Teacher empowerment Teachers can configure courses identify gaps and provide differentiated instruc-tion
College and career readiness Students can be measured on college and career readiness based on Common Core and other standards
Higher Ed Experience Points College match Students can be mapped to schools based on skills and college or university offerings
Collegepeers acquaintances Students can get to know peers at a more personal level
Programcourse help Students can get help deciding which courses will be most useful
Student learning environment A learner profile can be developed for personalizing learning and career help
Student riskintervention Measures can be taken to increase retention and degree completion rates
Professional Experience Points Job analysis Studentsemployees can align skills with current job role
Career pathways Individuals can manage career progress evaluate alternate career approaches identify what is needed to supplement current skill sets
Industry relationships Profes-sionals can use their network as a career catalyst
Virtuous communication with alma mater Alumni can mentorguide aspiring students to get a head start in pursuing their career paths
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
8 KEEP CHALLENGING March 2015
A New Role for Learning Management SystemsEven with the vast changes occurring in education the LMS will remain central to educational institutions In their current state however LMSs are used more as a tool for administrative efficiency with teachers primarily using them to distribute course content broadcast announce-ments initiate discussions and send e-mail The interactive learning component of the LMS does not customize the learning experience or promote the studentrsquos everyday communication pro-ductivity and collaborative abilities
For students these systems provide minimal adaption to learning styles are constrained by insti-tutional boundaries and donrsquot make use of insights from the studentrsquos social activities or other third-party data sources to construct the student persona
When LMSs interact with Code Halos however the learnerrsquos experience can be enriched from selecting the right college to choosing a major to identifying a mentor during school to finding a job after graduation In addition next-generation LMSs will include an adaptive learning component that tailors learning objects to the individual learner
Turning Code Halo Insights into Better Learning Experiences
Figure 3
K-12 Student
Higher Ed Prospect
Core Enrollment
Learning Experience
Graduation Deregistration
Professional Alumni
Student Life
K-12 Experience Points Student engagement Engagement increases as courses adapt to student strengths
Teacher empowerment Teachers can configure courses identify gaps and provide differentiated instruc-tion
College and career readiness Students can be measured on college and career readiness based on Common Core and other standards
Higher Ed Experience Points College match Students can be mapped to schools based on skills and college or university offerings
Collegepeers acquaintances Students can get to know peers at a more personal level
Programcourse help Students can get help deciding which courses will be most useful
Student learning environment A learner profile can be developed for personalizing learning and career help
Student riskintervention Measures can be taken to increase retention and degree completion rates
Professional Experience Points Job analysis Studentsemployees can align skills with current job role
Career pathways Individuals can manage career progress evaluate alternate career approaches identify what is needed to supplement current skill sets
Industry relationships Profes-sionals can use their network as a career catalyst
Virtuous communication with alma mater Alumni can mentorguide aspiring students to get a head start in pursuing their career paths
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 9
Adaptive Learning and LMS According to the Felder-Silverman learning style model (FSLSM) learners fall into three basic categories activereflective sensingintuitive and sequentialglobal11 Under this model courses can be broken down into elements such as exercises examples content objects and self-assessment
The three different learning styles require content to be presented in different orders For example an active learner would prefer to learn by trying things and completing exercises and self-assessments at the beginning of the course module followed by accessing content objects with very few examples given A reflective learner on the other hand prefers to learn by con-templating the material so she would prefer content objects at the beginning of the course with less focus on exercises Figure 4 (next page) illustrates how learning style should inform the individualrsquos unique learning path and type of content delivered
Yet another dimension of learning style is content preference audio video or text which can be deduced through a standard questionnaire Based on these student inferences institutions can design custom courses that suit individual needs
In order to align with an adaptive learning style future LMSs will need to be built on a Web Services framework from the ground up to ensure tight integration with many of the Web 20 tools that students already use Also adherence to emerging standards such as the IMS LTI framework will be critical to enabling data and app interoperability The integration of these features will encourage students to remain within the purview of the LMS for the majority of their learning activities enabling institutions to capture measure and infer some of their strengths weaknesses and preferences
Quick Take Privacy and Ethics Issues Surrounding Code Halos
Code Halos provide an immense opportunity to add value to all stakeholders involved in the educational value chain But because they involve the collection and use of student data they also raise privacy concerns as to what code can and should be shared to advance the learning process mdash and how it should be protected to prevent misuse identity theft or worse
Institutions and individuals alike must ensure the privacy of student information those that donrsquot will lose trust with their student body Openness and transparency are paramount Learners must be able to know what data is being captured about them how it is being used and which hands itrsquos passing through They also need the flexibility to either delete their Code Halos or opt out of their data being mined President Obama recently proposed the Student Data Privacy Act which would prohibit technology companies from profiting from information collected in schools as teachers adopt tablets online services and Internet-connected software10
Trust is the currency of the Code Halo generation We recommend taking the following steps to ensure learner privacy protection
bull Give your Code Halo a ldquodeleterdquo button
bull Act with transparency ldquoShow me you know merdquo
bull Demonstrate value What does the learner receive in exchange for sharing his data
bull Calibrate your approach for the global stage as necessary
bull Hard-code organizational self-control
(For more see our book ldquoCode Halos How the Digital Lives of People Things and Organizations are Changing the Rules of Businessrdquo by Malcolm Frank Paul Roehrig and Ben Pring
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
10 KEEP CHALLENGING March 2015
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
Colliding Code Halos Everyone in the learning value chain mdash educators institutions students and employers hungry for credentialed talent mdash can benefit from the insights gleaned from Code Halos For instance
bull Student Code Halos Studentsrsquo Code Halos can reveal insights based on their social media in-teractions reading lists interests study habits collaboration preferences learning aptitudes scholarships applied forobtained degrees and credentials earned and the stage of their edu-cation or career path These patterns can illuminate insights about the best subject area for the student his motivations for learning and even her potential career path
bull Educator Code Halos Code Halos can dramatically transform the role of professors and men-tors in the learning process Code Halo-based experiences can help students and professors connect with each other based on learning needs the professorrsquos expertise the pace of learn-ing and necessary interventions wherever and whenever needed The flexibility to reach men-tors and teachers at any stage of the learning process increases student trust Additionally professors can enrich the learning experience by providing real-time feedback and necessary interventions during challenging moments in the learning journey
bull Educational Product Code Halos The insights generated from the information surrounding learners teachers and institutions are enabling smart system and course design as well Soft-ware manufacturers and institutions can use these insights to bring continuous innovations to course curricula course design and the user experience
Different Strokes for Different Folks
Figure 4
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 11
Interaction leads to a college match offering mdash a solution concept for suggesting potential college options based on student persona
1
2
3
4
Interaction leads to a career match offering which helps employers find the right candidate for their organization
University ranking Specializations offered Teacherprofessor research contribution amp publications Student profiles performances activities Alumni coursecareer path and success Application data student preferences Social feedback profile of the university
Areas of strength collaboration contribution Social amp behavioral traits likes dislikes preferences interests contribution Student academic amp extracurriculars mdash historic amp current Aspirational universities degrees courses Interests improvement areas Application data student preferences
Ranking (ie Fortune 500 Forbes) Awards (ie best companies to work for top employers popular employee perks) Job openings (ie LinkedIn TheLadders Monstercom Glassdoor) Company amp stock performance(ie stock price dividends splits quarterly and full-year earnings) News events amp social sentiment (ieTwitter Facebook news channels Company profile (ie diversity demographics social causes sustainability initiatives)
Academic qualification and areas of interest Research and collaboration with peers PoV amp insights Contribution to content editorial teams on learning pedagogies for educational publishers Online discussion on topics and enabling focus group discussions Social amp behavioral traits Mentoring junior teachers
Interaction leads to a career match offering which helps educators find the right institution for themselves based on their aspirations Educator Code Halo
Interaction leads to an industry connect offering a solution for improving research collaboration based on industry needs
Employer Code Halo
Student Code Halo Institution Code Halo
Code Halos
Interplay
Text
Traditional LMMS MSMSMSM
TThhee NNeeww DDyynnaammiicc LLeeaarrnniinngg SSttaacckk
Inputs to the LMS
Analyzing
Unique Learning Pathsndash Based on Each Persona
Video
Audio
Course creation configuration Online assessments Reporting features Chat support Progress monitoring Notifications ons
esg ststylylylyleesesnIndividuaIndividual learndividual learnual learnlearnvidual learnIndividual learnIndividual Indiv nnnining stypreferee preference n preference not incorporrporated preference not t ininncococorp pr pre preferen pr f preference not eference nonce nottence nott ated ted ted ted ot in
id unguideiNon mNon-modulaNon-modular anmodular andnd unguiular and unguin-modular and unNon-modular aNon mod a andd unguidlar and unguidiideded approaapproach tapproach too courseach too course courserseto courseroach to course approach to couapproachapp creationcooncooncoonccreatioonconfigureationnconfiguration figurationti nurationonfigurationtionconfiguration
Incomp ture ofplete picturplete picture offfete picture of plete picture plete pip e picture ofte piccture off learnerr engar engagementmentngagementr engagementr engage progress aneess and quss and quality ity talitynd qualityss and quality of course content of cours ntt ntntt t tt
Decipher the behavioral traits (activesensinghellip) tr entify content Ide
eferences pprere
Sample Course(Course breakdown) Learning content Examples Exercises Self-assessment
TraitsPreferences Activereflective Sensingintuitive Sequentialglobal Audiovideotext preferences
Global Self-assessment Exercises Learning material Examples
Intuitive Self-assessment Exercises Learning material Examples
SeequentSSequenquenSequeSequSeSequenSequenenenttiiaallen erialgLearniniLearninLearninLearn ngngggg mmaatateereriaial ExampleExamplelxampleExampleExamp eeesss Self-assessment Self-assessmSelf-asss Exercises
Audio Active Exercises Self-assessments Learning material Examples
Video
Video
GapsGapGapGaGapGapapGapGapppps
Social persona (collaboration scores etc) Engagement patterns Mastery levels for different subject matter
bull Institutionsrsquo Code Halos Schoolsrsquo Code Halos could include alumni networks reputation in-formation location graduation rates vocational alignment and the qualitydepthbreadth of the curriculum For employers Code Halo attributes such as location and volumequality of demand are also applicable
Institutions are already leveraging Code Halos to add value to their studentsrsquo learning journeys For example the Signals project at Purdue University utilizes the data collected from student information systems LMSs and the grade book for a specific course to track studentsrsquo perfor-mance and identify at-risk students in real time12
The interplay of the stakeholdersrsquo Code Halos will define the next generation of learning For instance something akin to Matchcom from the world of online dating may best exemplify the power of the convergence of student institution educator and employer Code Halos (see Figure 5) When student Code Halos intersect with institutional Code Halos for example it can reveal best matches of students with schools Educator Code Halos intersecting with employer Code Halos can pinpoint opportunities for collaboration Student Code Halos connecting with employer Code Halos can show fruitful matches just as when educator Code Halos intersect with institutional Code Halos
Code Halo Thinking at Work
Figure 5
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
12 KEEP CHALLENGING March 2015
For example if a student is 70 likely to pursue a career in applied mathematics this insight can be matched with colleges that offer a strong math program leading math professors personal-ized course plans and connection to outside resources such as academic groups of interest and industry experts Or assume that a student earns a degree in anthropology from a prestigious university Based on her Code Halo she presents strong traits indicating a fit with a particular companyrsquos organizational theory and culture This type of ldquocode-meets-coderdquo matching is poten-tially more powerful than traditional hiring and recruiting models
A few institutions have begun leveraging the power of Code Halos especially in their admissions function Information including social media messages campus-visit logs and student records are all input into the admissions software to predict the likelihood of students accepting an offer of admission
Samford University through its Facebookmobile app uses an ldquoenrollment intelligencerdquo algorithm to predict students who are more likely to enroll by analyzing their social and behavioral data patterns13 Denver University predicts interest in enrollment by analyzing the studentrsquos online and social media behaviors such as number of friends or conversations the student participates in14
Code Halos can also help institutions focus their communication and create deeper more engaging relationships with prospective students This process begins before the learner ever attends a university as well as after graduation from admissions to employment
Looking AheadAs new technologies raise expectations across nearly every aspect of our lives the learning ecosystem needs a radical overhaul powered by SMAC Stack technologies But what will success look like Increased four-year graduation rates and higher pay for graduates What about lifelong learning How best to prepare young minds for the future workplace they will enter What behaviors creativity and emotional intelligence skills will be required for success What will work look like in the next few years All these questions need to be addressed in the way we confront challenge and change our current learning ecosystems If these issues are addressed thought-fully that change can occur without causing chaos to the education system as we know it
Code Halos provide the lens through which to imagine aligning students educators institutions of higher learning and potential employers Improving the student experience and increasing their value in the future is essential to ensuring that these efforts are a success
To take the first steps institutions should
bull Revisit their student lifecycle to identify specific touchpoints where they can leverage Code Halos to transform the student experience
bull Identify programs and courses that can be redesigned for adaptive learning
bull Identify one or more hypotheses that can be put to the test with analytics tools obtain insights that can drive student recruitment retention and persistence
At a time when many are questioning the value of ldquobusiness as usualrdquo for higher education there has never been a better moment to rethink the art of the possible Itrsquos time to go back to school and re-think reset and unlock the immense potential of the learning paradigm for the success and prosperity of our society nation and the world
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
ITrsquoS TIME FOR LEARNING TO GO BACK TO SCHOOL NEXT-GENERATION APPROACHES ENRICH THE STUDENT EXPERIENCE 13
Footnotes1 For more on Code Halos and innovation read the book Code Halos How the Digital Lives of
People Things and Organizations Are Changing the Rules of Business by Malcolm Frank Paul Roehrig and Ben Pring John Wiley amp Sons April 2014 wwwwileycomWileyCDAWileyTitleproductCd-1118862074html
2 Lynn OrsquoShaugnessy ldquoWhy Your Child Wonrsquot Graduate from College On Timerdquo Moneywatch Dec 3 2014 httpwwwcbsnewscomnewswhy-your-child-wont-graduate-from-college-in-4-years
3 US Government Spending httpwwwusgovernmentspendingcomus_education_spending_20html
4 ldquo2014 RetentionCompletion Summary Tablesrdquo ACTorg httpwwwactorgresearchpolicymakerspdf14retain_trendspdf
5 Jordan Weissmann ldquoHow Bad Is the Job Market for the Class of 2014rdquo Slatecom May 8 2014 httpwwwslatecomblogsmoneybox20140508unemployment_and_the_class_of_2014_how_bad_is_the_job_market_for_new_collegehtml
6 A massive open online course (MOOC) is a model for delivering learning content online to any person who wants to take a course with no limit on attendance For more information see httpwwweducauseedulibrarymassive-open-online-course-mooc
7 Sabine Graf and Kinshuk ldquoProviding Adaptive Courses in Learning Management Systems with Respect to Learning Stylesrdquo Vienna University of Technology and Athabasca University httpsgrafathabascaucapublicationsgraf_kinshuk_eLearn2007pdf
8 Jeanne Meister ldquoThe Wearable Era Is Hererdquo Forbes June 16 2014 httpwwwforbescomsitesjeannemeister20140616the-wearable-era-is-here-implications-for-the-future-workplace
9 ldquoHow Khan Academy Is Using Design to Pave the Way for the Future of Educationrdquo GigaOM Feb 25 2014 httpgigaomcom20140225how-khan-academy-is-using-design-to-pave-the-way-for-the-future-of-education
10 Michael D Shear and Natasha Singer ldquoObama to Call for Laws Covering Data Hacking and Student Privacyrdquo The New York Times Jan 11 2015 httpwwwnytimescom20150112uspoliticsobama-to-call-for-laws-covering-data-hacking-and-student-privacyhtml_r=1
11 ldquoThe Felder-Silverman Learning and Teaching Styles Modelrdquo International Centre for Educatorsrsquo Learning Styles httpwwwicels-educators-for-learningcaindexphpoption=com_contentampview=articleampid=47
12 Li Yuan ldquoWill Analytics Transform Educationrdquo Learning Frontiers httpblogscetisacukcetisli20121102will-analytics-transform-education
13 Eric Hoover ldquoFacebook Meets Predictive Analyticsrdquo The Chronicle of Higher Education Nov 6 2012 httpchroniclecomblogsheadcountfacebook-meets-predictive-analytics32770
14 ldquoLooking Beyond the Campus Visitrdquo Uversity httpwwwuversitycomblogwhat-you-should-know-about-behavioral-enrollment-data
Note Code Halotrade and SMAC Stacktrade are pending trademarks of Cognizant Technology Solutions
All company names trade names trademarks trade dress designslogos copyrights images and products referenced in this white paper are the property of their respective owners No company referenced in this white paper sponsored this white paper or the contents thereof
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
14 KEEP CHALLENGING March 2015
About the AuthorsVenkat Srinivasan is Cognizantrsquos Education Practice Lead He has over 20 years of experience in business strategy innovation and operations in the education industry Venkatrsquos areas of interest and research include higher education online learning student retention analytics and emerging technology disruptions for schools and universities He earned an MBA in global business from Georgia Tech Venkat can be reached at VenkatramanSrinivasan2cognizantcom
Robert Hoyle Brown is an Associate Vice-President in Cognizantrsquos Center for the Future of Work and drives strategy and market outreach for the Business Process Services Practice He is also a regular contributor to futureofworkcom ldquoSignals from the Future of Workrdquo Prior to joining Cognizant he was Managing Vice-Presi-dent of the Business and Applications Services team at Gartner and as a research analyst he was a recognized subject matter expert in BPO cloud services BPaaS and HR services He also held roles at Hewlett-Packard and G2 Research a boutique outsourcing research firm in Silicon Valley He holds a bachelor of arts degree from the University of California at Berkeley and prior to his graduation attended the London School of Economics as a Hansard Scholar He can be reached at RobertHBrowncognizantcom | LinkedIn httpwww linkedincompubrobert-brown1855a47
Meenu Sharma is an Associate Director with Cognizantrsquos Center for the Future of Work (CFoW) With over 14 years of experience Meenu currently works with CFoW leadership to advance its strategic research agenda Prior to this role she led strategy and successful implementation of enterprise 20 and knowledge management for organizations across multiple industries Her interest areas include SMAC tech-nologies consumerization of IT and the Future of Work Meenu earned her PhD in knowledge management from Punjabi University India She can be reached at MeenuSharmacognizantcom
Joydeep Sinha is the Consulting Lead for Cognizantrsquos Education Practice He has seven years of professional experience and is responsible for developing the companyrsquos consulting capabilities in the education domain across sectors such as higher education assessment training and digital publishing Joydeep has also worked with leading education publishers and new media organizations across various geographies including the US UK Singapore China and the Middle East Joydeep received his MBA from the SP Jain School of Global Management He can be reached at JoydeepSinhacognizantcom
Sumit Prakash is a Consultant in Cognizantrsquos Education Practice He has more than four years of professional experience encompassing education publishing LMSs assessments and assessment bodies education standards and the mobile applications domain Sumit received his MBA degree from the Indian Institute of Management Indore He can be reached at SumitPrakash3cognizantcom
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant
World Headquarters500 Frank W Burr BlvdTeaneck NJ 07666 USAPhone +1 201 801 0233
Fax +1 201 801 0243Toll Free +1 888 937 3277
inquirycognizantcom
European Headquarters1 Kingdom Street
Paddington CentralLondon W2 6BD
Phone +44 (0) 207 297 7600Fax +44 (0) 207 121 0102
infoukcognizantcom
India Operations Headquarters5535 Old Mahabalipuram Road
Okkiyam Pettai ThoraipakkamChennai 600 096 India
Phone +91 (0) 44 4209 6000Fax +91 (0) 44 4209 6060
inquiryindiacognizantcom
copy Copyright 2015 Cognizant All rights reserved No part of this document may be reproduced stored in a retrieval system transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the express written permission from Cognizant The information contained herein is subject to change without notice All other trademarks mentioned herein are the property of their respective owners
About CognizantCognizant (NASDAQ CTSH) is a leading provider of in-formation technology consulting and business process outsourcing services dedicated to helping the worldrsquos leading companies build stronger businesses Headquar-tered in Teaneck New Jersey (US) Cognizant combines a passion for client satisfaction technology innovation deep industry and business process expertise and a global collaborative workforce that embodies the future of work With over 75 development and delivery centers worldwide and approximately 211500 employees as of December 31 2014 Cognizant is a member of the NAS-DAQ-100 the SampP 500 the Forbes Global 2000 and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world Visit us online at wwwcognizantcom or follow us on Twitter Cognizant