LEARNING ANALYTICS AND
ONLINE LEARNING:
NEW OPPORTUNITIES?
IADAT-e2013 International Conference on Education,
Bilbao, July...
University of Boloña, XIV
foto: http://openhive.net/
University of Boloña, XIV
foto: http://openhive.net/
University of Boloña, XIV
foto: http://openhive.net/
University of Boloña, XIV
foto: http://openhive.net/
LEARNING ANALYTICS
“The measurement, collection, analysis and reporting
of data about learners and their contexts,
for pur...
Bloom, B. "The 2 Sigma Problem:The Search for Methods of Group Instruction as Effective as One-to-One Tutoring",
Education...
Bloom, B. "The 2 Sigma Problem:The Search for Methods of Group Instruction as Effective as One-to-One Tutoring",
Education...
• Use data for formative assessments
and than:
• Tailor instruction to students’ needs
25 yrs of research, 50 000
studies,...
Lectures were once useful, but
now, when all can read and
books are numerous, lectures
are unnecessary.
If your attention ...
MOOCS
"MOOC, every letter is negotiable", http://en.wikipedia.org/wiki/Massive_open_online_course
foto: http://en.wikipedia.org/wiki/Cash_register
PROBLEMS
• Maybe it is too much data, can we manage it?
• Once collected, what to do with all this numbers?
SFO, March 5, 2013
MACHINE LEARNING
Machine learning, a branch of artificial intelligence,
is about the construction and study of systems
that...
BIG DATA O BIG BROTHER?
• TV advertisements and counterprogramming
• Internet advertising
• Credit card and consumer credi...
BIG DATA O BIG BROTHER?
• TV advertisements and counterprogramming
• Internet advertising
• Credit card and consumer credi...
http://en.wikipedia.org/wiki/Luddite
OK,WE HAVETHETOOLS, SO?
OUR PROJECT
• Short videos (12-18 min), commentable
• Tests with variable difficulty (self-adjustab...
modelo
modelo
modelo
modelo
FIRST BENEFITS
• Adapt the difficulty of the test questions based on
student’s behavior (“student model”).
• Feedback to th...
Quizzes with personalized difficulty
Implicit feedback on video viewing
Implicit feedback on video viewing
FLIPPED CLASSROOM
• Learn the theory at home, exercises at school
• More time to resolve unclear points and practical exam...
MORE IDEAS
• Cross-usage of the data of different students
• Personalized sequence of (optional) videos
• Personalized ann...
GRACIAS
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
Learning Analytics and Online Learning: New Oportunities?
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Learning Analytics and Online Learning: New Oportunities?

  1. 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. 2. University of Boloña, XIV foto: http://openhive.net/
  3. 3. University of Boloña, XIV foto: http://openhive.net/
  4. 4. University of Boloña, XIV foto: http://openhive.net/
  5. 5. University of Boloña, XIV foto: http://openhive.net/
  6. 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. 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. 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. 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. 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. 11. MOOCS "MOOC, every letter is negotiable", http://en.wikipedia.org/wiki/Massive_open_online_course
  12. 12. foto: http://en.wikipedia.org/wiki/Cash_register
  13. 13. PROBLEMS • Maybe it is too much data, can we manage it? • Once collected, what to do with all this numbers?
  14. 14. SFO, March 5, 2013
  15. 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. 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. 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. 18. http://en.wikipedia.org/wiki/Luddite
  19. 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. 20. modelo
  21. 21. modelo
  22. 22. modelo
  23. 23. modelo
  24. 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. 25. Quizzes with personalized difficulty
  26. 26. Implicit feedback on video viewing
  27. 27. Implicit feedback on video viewing
  28. 28. FLIPPED CLASSROOM • Learn the theory at home, exercises at school • More time to resolve unclear points and practical examples. • Peer instruction.
  29. 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. 30. GRACIAS
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