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• Integrating the design, building, monitoring, and improvement of learning environments; individualize learning experiences using our scale; and, ultimately, drive greater student career success.
• Former CLO for K12, Inc. – structured use of technology, cognitive science, on-line and off-line materials for 1,700 teachers, 55k students
• Former Publisher and General Manager for DK Multimedia, Inc.• Management consultant with McKinsey & Company • Education:
- Ph.D. in Electrical Engineering and Computer Science from MIT- M.D. from Harvard Medical School- M.A. in Electrical Engineering and Computer Science from MIT- M.A. in Mathematics from Oxford University- B.S. in Electrical Engineering and B.S. with Honors in Mathematics from the
University of Washington
Bror SaxbergChief Learning Officer, Kaplan, Inc.
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• Kaplan University• Kaplan Higher Ed Campuses • Kaplan Legal Education• Kaplan Professional Education• Nursing
• KTPA• Kaplan Tutoring • Kaplan Bar Review • Kaplan Publishing• Kaplan Continuing Education
• Kaplan Higher Ed – Europe• Kaplan Professional – Europe• Kaplan Int’l Colleges• Global Pathways/English
Language• Kaplan Higher Ed – Asia• Kaplan Professional – Asia• Kaplan Higher Ed – Australia• Kaplan Professional – Australia• In Country Pathways – China
• Kaplan Compliance Solutions• Kaplan EduNeering• Kaplan IT Learning• Kaplan Latin America• Education Connection• Kidum• Colloquy
(U.S.)(U.S.)
Kaplan education spans domains and geography
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Student’s wants and needs for learning align
PersonalizedPersonalized Effective & Efficient
Effective & Efficient InnovativeInnovative Lifelong
LearningLifelong Learning
Student FirstStudent First
An expert view: “Your fastest path to goals that matter”
Student’s view of what the best educator would be like:
• Targeted• Diagnostic• Adaptive• Flexible• Career-long
• Targeted• Diagnostic• Adaptive• Flexible• Career-long
• Targeted• Efficient
• Targeted• Efficient
• Diagnostic• Adaptive• Engaging• Flexible
• Diagnostic• Adaptive• Engaging• Flexible
• Flexible• Career-long
• Flexible• Career-long
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Today…Today, students are treated as if they are the same.
The programs focus on graduation criteria.
To be successful, students’ fluencies should match evolving expert work
There is a disconnect that needs to be addressed.
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2020…
Cognitive task analysis can objectively identify the evolving skills students need for their next stage
The Kaplan Way to Design and Deliver, then Measure and Evaluate will drive better outcomes
Cognitive Task Analysis
Designand
Deliver
Measureand
Evaluate
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2020…We can then focus on unique strengths and challenges for each student to reach success.
Cognitive Task Analysis
Adaptive learning lets us personalize the educational experience, matching pace, progress and motivation
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We have to do more than “normal” development
“Normal” course development process
• Look at existing materials for inspiration
• Ask individual faculty to make “best guess” changes
• Possibly pilot for user acceptance
• Build a new version with incremental changes
• Distribute immediately
Augments to drive excellence
• Explicitly connect with learning science to drive what to do
• Tie explicitly to research on what defines experts’ success
• Use history of previous learners to alter current instruction
• Personalize instruction based on student skills and needs
• Collect data on what works by testing improvements
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Instructional design drives effectiveness
Learning Events
(hidden - inside students’ minds)
StudentPerformance
(observable -indicates
knowledge)
Instructional Events
(in the learning environment)
Knowledge
• Explicit: Information, Explanation, Examples, Demos
• Implicit: Practice tasks/activities (prompts and response)
• Diagnosis and feedback
• Explicit/Declarative/Conceptual/What• Implicit/Procedural/How• Knowledge Components
(Procedures + Facts, Concepts, Principles, Processes)
• Response accuracy/errors• Response fluency/speed• Number of trials• Amount of assistance (hints)• Reasoning
Motivation
• Orientation/Inoculation• Monitoring • Diagnosis and treatment:
Persuasion, Modeling, Dissonance
• Value beliefs• Self-efficacy beliefs• Attribution beliefs• (Emotions)
• Behavior related to• Starting • Persisting• Mental Effort
• Self-reported beliefs
Metacognition• Structure• Guidance
• Planning, Monitoring• Selecting, Connecting
• Amount of guidance required/requested
Instructional Design is the design of external conditions to support the internal conditions necessary for learning. Robert Gagne, 1965
Koedinger, K.R., Corbett, A.T., and Perfetti, C. (2010). The Knowledge-Learning-Instruction (KLI) Framework: Toward Bridging the Science-Practice Chasm to Enhance Robust Student Learning (Draft manuscript from the Pittsburgh Science of Learning Center)
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Evidence-Driven Instructional Design
Guidance (for motivation and metacognition)
The evidence about learning points to a sequence of activities that optimizes learning.
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Design goes one way. . ..
. . .delivery the other.
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Best education will require investments up front Examples:
Cognitive Task analysis (CTA)
CTA for program design: $20,000 (internal resources)
CTA for course design: $5,000
[NOT necessarily for every program, every course!]
Interactive Media
Java and Flash-rich training: $5,000+ per hour of rich instruction
Complex simulations: $25,000+ per hour of simulation
[NOT necessarily for every hour of instruction!]
Platforms
Adaptive E-Learning Platform development: $10-20M (5 years)
Content rebuilds: Could be multiples of that!
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Spending at scale: other industries are used to it
12.7%11.2%
7.6%
4.3% 4.1% 4.1%
2.3% 2.1% 1.9% 1.6% 1.5%
0%
2%
4%
6%
8%
10%
12%
14%
R&D to Sales Ratio by Industry (2004)
Avg. = 4.2%
Source: Booze Allen Hamilton Global Innovation 1000
Education organizations typically do not even report R&D
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Concept Course Project Goals
• Develop a “concept course”, a prototype to showcase elements of Kaplan’s next generation learning environments
• Personalization
• Evidence-based instructional and multimedia design
• Open-source platform
• Mobile delivery (iPad)
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Personalization: triple loop adaptation
Context forExamples, Practice,Tests
MotivationGuidance
Student’s Motivational State
Student’s Performance
Amount and Type of Examples, Practice,
Feedback
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3.
2.
1.
Student’s Field of Study
• Personalizing content based on diagnosis of knowledge gaps improves learning outcomes and reduces the time to learn.• We can double the impact of adaptive learning by adding motivational guidance for students who need it.• This is the first scalable system that adapts to both student knowledge and motivation.
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Rules EngineRules
Engine
StudentModel
StudentModel
Current and pastPerformance& Motivation
data
Example AExample BExample C
Activity AActivity BActivity C
Feedback AFeedback BFeedback C
CROSS-OBJECTMotivational Guidance
Content
PreviewInformation Example B Activity A AssessmentFeedback C
Prepare Practice Test
Motivational Guidance
For each learning outcome
Dynamically constructed learning objects and guidance
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Motivation theory: Beliefs drive behavior and performance
Sources: Bandura; Eccles & Wigfield; Pintrich & Schunk; Clark; Dweck
Self-Efficacy
Eff
ort
HighModerateLow
Will
Low High
SkillHigh
Low
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Motivation data
Value• Intrinsic• Utility• Strengths
Self-Efficacy• Success• Distractions• Difficulty
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Confidence
Course Overview
Prepare: After first example
Practice: After low performance
Attribution
• Controllable
• Uncontrollable
Time spent on each learning outcome
Indicator of mental effort
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Rules and guidance for different patterns of skill and will
Perceived Value Type of Guidance Given
Low Explain and model the value (benefits, risks)
Performance Self-Efficacy Attribution Type of Guidance Given
High All NA Proceed to Test
Low High Controllable Reduce confidence, increase effort
Low High Uncontrollable Reattribute to effort or different strategy
Low Low Controllable Boost confidence
Low Low Uncontrollable Reattribute to effort or strategy and boost confidence
Low Med Controllable Motivation OK. Recommend more practice
Low Med Uncontrollable Reattribute to effort or different strategy
Performance Outcome Session Time Type of Guidance Given
Low Low Focus on spending more time
Low High Focus on using time more productively – provide training in study skills
Course overview
Test
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Practice
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Content: Why Creativity?
IBM poll of 1,500 CEOs identified creativity as the number one leadership competency needed to fuel business growth. On a global scale, creativity holds the potential for solving society’s largest problems. We need faster ways to develop this capability in the workforce.
Video footage from leading innovators of our time from Techonomy conference
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Content: Differentiators of individual and team creativity
Notes1. Sources for “task analysis”:• Empirical investigations of highly creative people/teams• Research comparing people/teams with high creativity versus average creativity• Studies of performance on creative measures• Successful programs that teach creative behavior• Videos collected during 2010 Techonomy conference
2. Graphic modified from Amabile, 1998.3. Course will focus on Cognitive Skills and Motivation.4. * Fluid intelligence (Gf) is the ability to reason and to solve new
problems independently of previously acquired knowledge. It is the ability to analyze novel problems, and identify patterns and relationships that underpin these problems. It is correlated with working memory capacity and inductive reasoning.
Creativity
DomainExpertiseDomain
Expertise
FluidIntelligence*
FluidIntelligence*
MotivationMotivation
Cognitive Skills•Problem Definition•Divergence•Convergence•Execution
Cognitive Skills•Problem Definition•Divergence•Convergence•Execution
Individual
Processes and Culture that foster creativity (e.g., doesn’t punish risk-taking)
Organizational Structure promotes networking
Team members with diverse domain expertise
Autonomy in decision making, yet goal oriented
Tea m
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Content: 7 Units - procedural learning outcomesUnit Learning Outcomes
What is Creativity?
• Define creativity, identify differentiators of creativity and describe a process to apply them
• Identify the myths and truths about becoming more creative
Problem Definition
• Define a problem as a gap
• Identify causes of the gap
Divergence
• Brainstorm solutions
• Identify and challenge assumptions
• Seek analogies and associations
Convergence• Narrow the field of possible solutions using critical thinking skills
• Recognize real-world constraints
Execution• Turn ideas into executable plans
• Develop prototypes
Motivation • Apply techniques to remain motivated during the creative process
Group Creativity
• Apply individual creativity techniques to working in groups
• As a leader, create an environment conducive to creativityGreen = Prototype
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Useful References on Learning and ID:• Why Students Don’t Like School, Daniel Willingham – highly readable! ;-) • Talent is Overrated, Geoffrey Colvin – highly readable! ;-) • E-Learning and the Science of Instruction, Clark and Mayer, 2nd ed.• “First Principles of Learning,” Merrill, D., in Reigeluth, C. M. & Carr, A. (Eds.), Instructional Design
Theories and Models III, 2009.• How People Learn, John Bransford et al, eds.• “Design factors for educationally effective animations and simulations,” Plass, J.L., Homer, B.D., Hayward,
E.O., J Comput High Educ (2009) 21:31–61• “The Implications of Research on Expertise for Curriculum and Pedagogy”, David Feldon, Education
Psychology Review (2007) 19:91–110• “Cognitive Task Analysis,” Clark, R.E., Feldon, D., van Merrienboer, J., Yates, K., and Early, S.. in Spector,
J.M., Merrill, M.D., van Merrienboer, J. J. G., & Driscoll, M. P. (Eds.), Handbook of research on educational communciatinos and technology (3rd ed., 2007) Lawrence Erlbaum Associates