Learning Analytics and Online Learning: New Oportunities?
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Learning Analytics and Online Learning: New Oportunities?

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Learning Analytics and Online Learning: New Oportunities? Presentation Transcript

  • 1. LEARNING ANALYTICS AND ONLINE LEARNING: NEW OPPORTUNITIES? IADAT-e2013 International Conference on Education, Bilbao, July 2013 Svet Ivantchev, eFaber Ana Fernandez, UPV/EHU
  • 2. University of Boloña, XIV foto: http://openhive.net/
  • 3. University of Boloña, XIV foto: http://openhive.net/
  • 4. University of Boloña, XIV foto: http://openhive.net/
  • 5. University of Boloña, XIV foto: http://openhive.net/
  • 6. LEARNING ANALYTICS “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.” As defined at LAK12, http://www.solaresearch.org/mission/about/
  • 7. Bloom, B. "The 2 Sigma Problem:The Search for Methods of Group Instruction as Effective as One-to-One Tutoring", Educational Researcher, 13-6, 4-16, (1984).
  • 8. Bloom, B. "The 2 Sigma Problem:The Search for Methods of Group Instruction as Effective as One-to-One Tutoring", Educational Researcher, 13-6, 4-16, (1984).
  • 9. • Use data for formative assessments and than: • Tailor instruction to students’ needs 25 yrs of research, 50 000 studies, 200M students Visible Learning for Teachers: Maximizing Impact on Learning, J. Hattie, 2011
  • 10. Lectures were once useful, but now, when all can read and books are numerous, lectures are unnecessary. If your attention fails and you miss part of a lecture, you are lost; you cannot go back as you do upon a book. James Boswell - Life of Johnson (1791)
  • 11. MOOCS "MOOC, every letter is negotiable", http://en.wikipedia.org/wiki/Massive_open_online_course
  • 12. foto: http://en.wikipedia.org/wiki/Cash_register
  • 13. PROBLEMS • Maybe it is too much data, can we manage it? • Once collected, what to do with all this numbers?
  • 14. SFO, March 5, 2013
  • 15. MACHINE LEARNING Machine learning, a branch of artificial intelligence, is about the construction and study of systems that can learn from data. Field of study that gives computers the ability to learn without being explicitly programmed
  • 16. BIG DATA O BIG BROTHER? • TV advertisements and counterprogramming • Internet advertising • Credit card and consumer credit authorizations • Fidelity cards (Travel Club, FNAC, much more ...) • Buying recommendations, cross selling and upselling • Churn rates ... but not in education!
  • 17. BIG DATA O BIG BROTHER? • TV advertisements and counterprogramming • Internet advertising • Credit card and consumer credit authorizations • Fidelity cards (Travel Club, FNAC, much more ...) • Buying recommendations, cross selling and upselling • Churn rates ... but not in education!
  • 18. http://en.wikipedia.org/wiki/Luddite
  • 19. OK,WE HAVETHETOOLS, SO? OUR PROJECT • Short videos (12-18 min), commentable • Tests with variable difficulty (self-adjustable) • Full text search of all the content, audio included • Log of everything • ... nothing more (very important ;-)
  • 20. modelo
  • 21. modelo
  • 22. modelo
  • 23. modelo
  • 24. FIRST BENEFITS • Adapt the difficulty of the test questions based on student’s behavior (“student model”). • Feedback to the content/class authors. • Flipped classroom.
  • 25. Quizzes with personalized difficulty
  • 26. Implicit feedback on video viewing
  • 27. Implicit feedback on video viewing
  • 28. FLIPPED CLASSROOM • Learn the theory at home, exercises at school • More time to resolve unclear points and practical examples. • Peer instruction.
  • 29. MORE IDEAS • Cross-usage of the data of different students • Personalized sequence of (optional) videos • Personalized annotations of the material • Group creation/assignment • Early outlier detection
  • 30. GRACIAS