IADIS: Shanghai
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
No Downloads

Views

Total Views
15,104
On Slideshare
4,347
From Embeds
10,757
Number of Embeds
20

Actions

Shares
Downloads
84
Comments
2
Likes
12

Embeds 10,757

http://www.elearnspace.org 6,902
http://www.edgex.in 2,085
http://www.scoop.it 1,301
http://edgex.in 239
http://learningwithtechs.wordpress.com 75
http://paper.li 55
http://translate.googleusercontent.com 33
http://solaresearch.org 23
http://donnamurdoch.net 21
http://lmjislearninglak12.wordpress.com 6
http://webcache.googleusercontent.com 3
http://127.0.0.1 3
http://us-w1.rockmelt.com 2
http://www.newsblur.com 2
http://tweets.murdocheducation.com 2
http://darcynorman.net 1
http://www.rssmountain.com 1
http://sn131w.snt131.mail.live.com 1
http://tweetree.com 1
http://dev.solaresearch.org 1

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Envisioning a system-widelearning analytics platform George Siemens December 8, 2011 Shanghai, China
  • 2. Data is an asset
  • 3. Data revealsour sentiments,our attitudes,our social connections,our intentions,and what we might do next.
  • 4. http://online.wsj.com/article/SB1000142405311190388560 4576486330882679982.html
  • 5. What’s different today?volume (apparently, there’s lots of data)velocity (processing capacity)variety (internet of things, social media)
  • 6. Applying big data and analytics in education
  • 7. Learning analytics is themeasurement, collection, analysis andreporting of data about learners and theircontexts, for purposes of understanding andoptimizing learning and the environments inwhich it occurs. Society of Learning Analytics Research
  • 8. “A university where staff and studentsunderstand data and, regardless of its volumeand diversity, can use it and reuse it, store andcurate it, apply and develop the analytical toolsto interpret it.”
  • 9. Roots of learning analytics Statistical methods Intelligent EDM Tutors Big Data Personalization Business Learning AdaptiveIntelligence learning Analytics
  • 10. We can make great progress with analytics asindividuals, but the nature of ‘big data’ requiresa systemic focus
  • 11. SNA: in Moodle introduction forumLimitedinteraction.Most areisolated
  • 12. Source: King James Bible Old and New Testaments
  • 13. What is behind a simple visualization?
  • 14. Tools for analytics- Single functionality tools (SNAPP)- Multi-function tools (ManyEyes, Gephi)- Visualization (Tableau)- Existing research tools (SPSS, Wolfram)
  • 15. Acquisition: how do we get the data – structuredand unstructured?Storage: how do we store large quantities?Cleaning: how do we get the data in a workingformatIntegration: How do we “harmonize” varying datasets togetherAnalysis: which tools and methods should be used?Representation/visualization: tools and methods tocommunicate important ideas
  • 16. Many tools are currently stand alone and singlefunctionality(anyone remember learning managementsystems in the late 1990’s?)
  • 17. PlayersStartups (Grockit, Knewton)Existing vendors (Cisco, Catatel)Systemic learning analytics players (iStrategy)(they get bought up quickly)
  • 18. Check my activity Predictive Analytics Reporting
  • 19. To date, asystem-wide open source analytics platformis NOT available.We want to change that.
  • 20. Given how important analyticsare…maybe we should start with openness
  • 21. The Vision:Open Learning Analytics Architecture
  • 22. OLA: An open, extensible platform for researchers, educators, and administrators for broad-scale analytics in education and learning.
  • 23. Principles of a systems-wide analytics tool1. Algorithms should be open, customizable forcontext2. Students should see what the organization sees3. Analytics engine as a platform: open for allresearchers and organizations to build on4. Specific analytics strategies and tools: APIs5. Integrate and connect with existing open tools6. Modularized and extensible
  • 24. 33
  • 25. Privacy & EthicsJust because we can…should we? Particularly due to the exponential insightPossible with integration of multiple data sets
  • 26. Getting involved
  • 27. http://www.solaresearch.org/
  • 28. http://lak12.sites.olt.ubc.ca/ April 29-May 2, 2012 Vancouver
  • 29. Open online course: Learning Analytics January 23 - March 17, 2012 http://www.solaresearch.org/ Simon Shane Dawson Erik Duval Dragan Gasevic George SiemensBuckingham Shum
  • 30. http://www.educationaldatamining.org/
  • 31. change.mooc.ca Twitter: gsiemens www.learninganalytics.nethttp://www.solaresearch.org/