1. LEARNING ANALYTICS: A FOUNDATION FOR INFORMED CHANGE IN HIGHER EDUCATION George Siemens Technology Enhanced Knowledge Research Institute (TEKRI) Athabasca University, Canada January 10, 2011

2. https://tekri.athabascau.ca/analytics/ http://www.learninganalytics.net/

3. BLACK BOX OF EDUCATION

4. Hell is a place where nothing connects with nothing T.S. Eliot

5. …or where everything connects with everything

6. 1. INTRODUCTION TO LEARNING ANALYTICS

7. ACADEMIC ANALYTICS “Academic analytics helps address the public’s desire for institutional accountability with regard to student success, given the widespread concern over the cost of higher education and the difficult economic and budgetary conditions prevailing worldwide.” http://www.educause.edu/EDUCAUSE+Quarterly/EDUCAUSEQuarterlyMagazin eVolum/SignalsApplyingAcademicAnalyti/199385

8. LEARNING ANALYTICS “Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs”

9. KNOWLEDGE ANALYTICS Linked data, semantic web, knowledge webs: how knowledge connects, how it flows, how it changes

10. 2. RISE OF BIG DATA

11. “This is a world where massive amounts of data and applied mathematics replace every other tool that might be brought to bear. Out with every theory of human behavior, from linguistics to sociology. Forget taxonomy, ontology, and psychology. Who knows why people do what they do? The point is they do it, and we can track and measure it with unprecedented fidelity. With enough data, the numbers speak for themselves. The big target here isn't advertising, though. It's science.” http://www.wired.com/science/discoveries/magazine/16-07/pb_theory

14. “Social data is set to be surpassed in the data economy, though, by data published by physical, real-world objects like sensors, smart grids and connected devices.” http://www.readwriteweb.com/archives/china_moves_to_dominate_the_next_stage_of_the _web_internet_of_things.php

15. BLURRING THE PHYSICAL AND VIRTUAL WORLDS

16. Central Nervous System for Earth (CeNSE) http://www.hpl.hp.com/research/intelligent_infrastructure/

17. SMARTER PLANET

18. ALL THE WORLD IS DATA. AND SO ARE WE. AND ALL OF OUR ACTIONS. http://www.hoganphoto.com/batsto_grist_mill.htm

19. 3. SEMANTIC WEB, LINKED DATA, & INTELLIGENT CURRICULUM

20. INTEGRATED KNOWLEDGE AND LEARNING ANALYTICS MODEL: IKLAM Bringing together physical (organizational resources, presence, libraries) and locational (xWeb) data with online activities (in various places: email, FB, LMS, PLE, CRM)…to improve personal learning and knowledge evaluation

28. 4. TOOLS & EXAMPLES OF ANALYTICS

30. http://research.uow.edu.au/learningnetworks/seeing/snapp/index.ht ml

31. EDUCATIONAL CHANGE DRIVEN BY ANALYTICS

32. MANY, MANY CONCERNS Privacy Security Ethics Ownership Technical infrastructure and protocols Skills needed?

33. Type of analyticsWho Benefits? Course-level: social networks, conceptual development, language analysis Learners, faculty Aggregate: predictive modeling, patterns of success/failure Learners, faculty Institutional: learner profiles, performance of academics, knowledge flow Administrators, funders, marketing Regional (state/provincial): comparisons between systems Funders, administrators National & InternationalNational governments

35. Twitter/Facebook/Quora: gsiemens Newsletter: www.elearnspace.orgwww.elearnspace.org Learning Analytics & Knowledge Conference: https://tekri.athabascau.ca/analytics/ (February 27-March 1, 2011. Banff, Canada) https://tekri.athabascau.ca/analytics/ Open Course: http://learninganalytics.nethttp://learninganalytics.net