Improving Learning Environments & Increasing Values

Improving Learning Environments, Increasing

Values.

Centre For Legal Education Conference 2014

Jon Harman

: h$p://uk.linkedin.com/in/jonharman1075 : @kao:coddchild

Educational Frontiers

http://etcjournal.com/2011/06/07/e-g8/

Narratives

Raising Standards

Improving Educa4on

Storms/ Avalanches

Broken Educa4on

Unfit for Purpose

Lions and Tigers and Bears – Oh

My!

Formula for Change

D x V x F > R

http://en.wikipedia.org/wiki/Formula_for_Change

We’ve had…….

with EVERYONE saying…….

http://vimeo.com/85465282

Or……

Problems Need Solu4ons

1.  Openness 2.  Digital learning 3.  Granularized learning 4.  Data & analytics 5.  For-profit/startups (expanding ecosystem) 6.  Personalization/adaptivity 7.  Wearable/contextual computing 8.  Unbundling of organizational roles 9.  Blurring distinctive learning roles (lifelong) 10. Degrees and alternative recognition models

Prominent trends shaping the future of higher education

How Large Systems Change – Siemens (2013)

-‐ Outsourcing of services (tech, curriculum, teaching, tes4ng)

-‐ Increased collabora4on/partnerships with

sector-‐providers

-‐ New entrants (oNen startups) into the integrated value ecosystem

-‐  Successful universi4es are “new

integrators”

What to expect:



FAC

ULT

Y

DEGREES

RESEARCH G

OVE

RN

AN

CE

CU

RR

ICU

LUM

TEA

CH

ING

/LEA

RN

ING

ASS

ESSM

ENT

EXPE

RIE

NC

E STUDENTS

An Avalanche is Coming – Barber, Donnelly & Rizvi (2013)

http://brokeneducation.tumblr.com/

Value?

Education Sector Factbook, 2012

Deal Velocity and Value of Equity Invested

Think Tanks and Consultants

http://www.lfhe.ac.uk/en/components/publication.cfm/ST%20-%2006 http://www.ey.com/Publication/vwLUAssets/University_of_the_future/$FILE/University_of_the_future_2012.pdf

http://www.ucu.org.uk/media/pdf/0/l/ucu_psopi_oct12.pdf

The Rise of Private Equity

The Law School Link

Commodity Value vs Values

A university (Latin: "universitas", "a whole") is an institution of higher education and research which grants academic degrees in a variety of subjects and provides both undergraduate education and postgraduate education. The word "university" is derived from the Latin universitas magistrorum et scholarium, which roughly means "community of teachers and scholars.”

http://www.montagu.com/companies.aspx?lang=en

Value vs Values

http://www.wonkhe.com/2012/03/22/the-budget-and-universities/

http://www.hefce.ac.uk/media/hefce/content/about/staffandstructure/board/2012/148/B77redacted.PDF

What is Higher Education for?

Student (Consumer) Satisfaction

http://unistats.direct.gov.uk/subjects/satisfaction/10004797FT-LAW_055_M100/ReturnTo/Search

Student (Customer) Experience

http://www.timeshighereducation.co.uk/news/education-campaigners-reject-idea-of-students-as-consumers/2004759.article

Student (Learner)Experience

http://www.qaa.ac.uk/Publications/InformationAndGuidance/Documents/Student-Experience-Research-2012-Part-1.pdf

Student Experience - Employability


Student Experience Students want academic staff to develop their teaching styles to be more engaging, interactive and use technology and props to make the subject more accessible and interesting. Developing an active learning style is a teaching skill which needs to be taught and developed over time.

Students were clear that they valued their experiences of working in small groups during teaching time and through assessments because they understood how these skills could be transferable in an employment context. They did not, however, mention any other transferable skills which they have acquired.

Questions on assessment and feedback have once again shown a disconnect between what students are looking for, and what is provided by institutions. Students are still requesting more discussion based feedback with academics and their peers, and want feedback to be more accessible and available online.


Student Experience


Learning Meet Big Data

Data trails reveal our sentiments, our attitudes, our social connections, our intentions, what we know, how we learn, and what we might do next. The Data Intensive University – Siemens (2012)

Big Data & Analytics “Analy4cs, and the data and research that fuel it, offers the poten4al to iden4fy broken models and promising prac4ces, to explain them, and to propagate those prac4ces.”

Grajek, 2011

Siemens, Long, 2011. EDUCUASE Review

Technique: Baker and Yacef (2009) five primary areas of analysis: -‐ Predic4on -‐ Clustering

-‐ Rela4onship mining -‐ Dis4lla4on of data for human judgment

-‐ Discovery with models

Applica:on: Bienkowski, Feng, and Means (2012) five areas of applica4on:

-‐ Modeling user knowledge, behavior, and experience

-‐ Crea4ng profiles of users -‐ Modeling knowledge domains

-‐ Trend analysis -‐ Personaliza4on and adapta4on

Baker, R. S. J.d., & Yacef, K. (2009). The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1(1). http://www.educationaldatamining.org/JEDM/images/articles/vol1/issue1/JEDMVol1Issue1_BakerYacef.pdf http://www.ed.gov/edblogs/technology/files/2012/03/edm-la-brief.pdf

http://drunks-and-lampposts.com/2012/06/13/graphing-the-history-of-philosophy/

The Data Intensive University – Siemens (2012)

The Data Intensive University – Siemens (2012)

Data Dashboards

Data Based Course Design

Lecture Vs Sleep – Eric Mazur

Student Experience


Mo:va:on Dynamics

http://pushingattheedges.wordpress.com/2014/01/25/moocs-content-curation-learning-what-motivates-me/

Flow: The Psychology of Optimal Experience - Csikszentmihalyi (1990)

Apgar Tests in Class?

Virginia Apgar

http://www.gardnercampbell.net/blog1/?p=421

“The ways you communicate with students, the way chairs are arranged in the room, the fact of there being a room, inside a building inside an institution inside staff cultures, student cultures, professional cultures, broader social cultures -- all these layers are bound together, laminated, and much of our task as educators is to unpick the quotidian assumptions that bind them and ask - does it really need to be like that? can we do things differently and better?” – Maharg (2014)

I oNen found it hard work understanding the textbooks. I felt that a lot of the 4me they

were unclear, badly phrased and could have explained complicated topics be`er. They also frequently seemed to over-‐complicate topics

that actually weren't that complex.

I think one would take in more from the

textbooks if there was more visual s4mula4on,

perhaps a bit of colour.

Contract - The sections on remedies and damages was very disjointed and speaking with fellow students they agree that this is the most unclear area of the Contract course. Manuals. The manuals tended to be 'wordy' where it was not necessary. For example sentences such as 'Now we will use what you have just read in an activity' are pointless and just elongate the reading time.

http://read-able.com/

http://youtu.be/4K11o19YNvk

Were we good at design and planning before?

http://www.open.ac.uk/blogs/OULDI/

Student Experience


Student Ideal Course Design


What’s coming?

Digital Publishers & Content

MOOCs & Pladorms

replicable content from the interaction and assessment pole

interaction and assessment from the replicable content pole. U

nive

rsiti

es?

Learning Analy4cs & Adap4ve/Personalisa4on Tools

Learning Design & Pedagogy Profiling Tools

Learning and Performance Support Systems

http://halfanhour.blogspot.no/2013/12/learning-and-performance-support-systems.html

A new $19 million 5-year initiative at the National Research Council lead by Stephen Downes

Learning as a Cloud Service – will create a distributed learning layer, which is a mechanism for working with data no matter where it is stored, through desktop, mobile and other devices. Resource Repository Network – will create a resource graph of learning/training resources data from multiple sources and multiple formats including live and dynamic data such as workplace data, plant instrumentation, or market information. Personal Learning Record – will define how we represent, capture, and leverage user activity, including ratings, test results, performance measures, and the like, in a distributed learning and work environment. Automated Competence Development and Recognition – whereas existing recommender systems depend on manually defined metrics and taxonomies, this system will detect new and emerging competences and automatically assess employee performance. Personal Learning Assistant – will develop an integrated learning appliance, a mechanism for looking up or finding references or resources inside other programs or environments.

http://halfanhour.blogspot.no/2013/12/learning-and-performance-support-systems.html

LWOWx

Project of Worth: MOOCs, DOCCs, and Avatars, Oh My:

How Will We Educate Our Lawyers and Law School Students Tomorrow?

http://www.lawwithoutwalls.org/lwow-x/

Email Me: [email protected]

e: [email protected] Skype: kaoticoddchild

That’s All Folks!

Date post:	06-May-2015
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