Learning Analyticsfoundation of mass personalized educationSander Latour
Bedankt voor de uitnodigingThank you for inviting me
Roadmap to the beerThe educational modelThe revolutionThe technologyLearning AnalyticsThe future of learning
Roadmap to the beerPoint out the irony of this talkWalk out and get a beerAlternative
What characterizes ourmodel of education?High school University
Traditional educationTeacher-centricOne-size fits allStandardizedPassiveIndividuallyAssessment-centricCertain ordering of ...
Does the system work?Did it work for you? For your friends?For everybody in society?
Revolution in education"the world of education is stirring"
Concerns on the surface
http://www.wearethepeoplemovie.com
SchoolSociety19th21st
Most watched?
Sir Ken Robinson
Big Breakthroughs HappenWhen What Is SuddenlyPossible Meets What IsDesperately Necessary- Thomas L. Friedman
Or: Old Wine In New Bottles
technicallySo what is suddenly possible?
There are many developmentsthat improve educationwithout (explicitly) using technologyWait a minute
Online learningTransformation or Digitalization?
Massive Open Online CourseEver heard of MOOCs?
Not all Online Learning......is massive, open or even a course
Web-based ITS MOOC
Web-based ITS MOOC
Learning Analyticsfoundation of mass personalized education
Many studentsIncreasing dataHow can you personalize?
Learning Analytics is the measurement, collection,analysis and reporting of data about learners and theircontexts, for pur...
LearnersDataAnalysisInterventionThe Learning Analytics cycleDoug Clow. 2012. The learning analytics cycle: closing the loo...
Arnold, K. E. (2010). Signals: Applying Academic Analytics.Educause Quarterly, 33(1), n1Purdue Course Signals
LearningAnalyticsEducationalDataminingAcademicAnalytics
Siemens, G., & Long, P. (2011). Penetrating the fog: Analyticsin learning and education. Educause Review, 46(5), 30-32.
LearnersDataAnalysisInterventionThe Learning Analytics cycle
LearnersDataThe Learning Analytics cycle
Browsing behaviorChat/forum/blog postsComments on chat/forum/blog postsLikes/ratingsAnswers/mistakes in quizzesTime spent ...
LearnersDataAnalysisThe Learning Analytics cycle
Recommendations for materialRecommendations for pupils / mentorsPrediction of students at riskFinding bottlenecks in conte...
LearnersDataAnalysisInterventionThe Learning Analytics cycle
ReflectionShowing a prediction of successOverview of what you didOverview of what the group didInsight in the group proces...
ReflectionShowing a prediction of successOverview of what a student didOverview of what the group didInsight in the group ...
Adaptive learning materialAdaptive navigationAdaptive testsClean-up of bad materialAutomatic intervention
LearnersDataAnalysisInterventionThe Learning Analytics cycle
What are potential issues or downsides?Critical thinking
PrivacyLack of dataPedagogical effectJumping to conclusionsEnforcing the factory modelTool-centric vs. Learner-centricPote...
What could possible scenarios be?The future of learning
Are droids taking our jobs?
Official sources of information
People that inspired meSir Ken Robinson Noam Chomsky Eric MazurGeorge Siemens Erik Duval Salman Khan
Im not saying everythingshould be changedIm saying everythingshould be questioned
Thank youhttp://www.slideshare.net/sanderlatour
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
Learning analytics : foundation of mass personalized education
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Learning analytics : foundation of mass personalized education

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Learning analytics : foundation of mass personalized education

  1. 1. Learning Analyticsfoundation of mass personalized educationSander Latour
  2. 2. Bedankt voor de uitnodigingThank you for inviting me
  3. 3. Roadmap to the beerThe educational modelThe revolutionThe technologyLearning AnalyticsThe future of learning
  4. 4. Roadmap to the beerPoint out the irony of this talkWalk out and get a beerAlternative
  5. 5. What characterizes ourmodel of education?High school University
  6. 6. Traditional educationTeacher-centricOne-size fits allStandardizedPassiveIndividuallyAssessment-centricCertain ordering of topics
  7. 7. Does the system work?Did it work for you? For your friends?For everybody in society?
  8. 8. Revolution in education"the world of education is stirring"
  9. 9. Concerns on the surface
  10. 10. http://www.wearethepeoplemovie.com
  11. 11. SchoolSociety19th21st
  12. 12. Most watched?
  13. 13. Sir Ken Robinson
  14. 14. Big Breakthroughs HappenWhen What Is SuddenlyPossible Meets What IsDesperately Necessary- Thomas L. Friedman
  15. 15. Or: Old Wine In New Bottles
  16. 16. technicallySo what is suddenly possible?
  17. 17. There are many developmentsthat improve educationwithout (explicitly) using technologyWait a minute
  18. 18. Online learningTransformation or Digitalization?
  19. 19. Massive Open Online CourseEver heard of MOOCs?
  20. 20. Not all Online Learning......is massive, open or even a course
  21. 21. Web-based ITS MOOC
  22. 22. Web-based ITS MOOC
  23. 23. Learning Analyticsfoundation of mass personalized education
  24. 24. Many studentsIncreasing dataHow can you personalize?
  25. 25. Learning Analytics is the measurement, collection,analysis and reporting of data about learners and theircontexts, for purposes of understanding and optimizinglearning and the environment in which it occurs.
  26. 26. LearnersDataAnalysisInterventionThe Learning Analytics cycleDoug Clow. 2012. The learning analytics cycle: closing the loop effectively.In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK 12)
  27. 27. Arnold, K. E. (2010). Signals: Applying Academic Analytics.Educause Quarterly, 33(1), n1Purdue Course Signals
  28. 28. LearningAnalyticsEducationalDataminingAcademicAnalytics
  29. 29. Siemens, G., & Long, P. (2011). Penetrating the fog: Analyticsin learning and education. Educause Review, 46(5), 30-32.
  30. 30. LearnersDataAnalysisInterventionThe Learning Analytics cycle
  31. 31. LearnersDataThe Learning Analytics cycle
  32. 32. Browsing behaviorChat/forum/blog postsComments on chat/forum/blog postsLikes/ratingsAnswers/mistakes in quizzesTime spent on taskRequesting hintsSharing of resourcesSocial interactionsDrafts of end productsLocationBody sensorsEnvironment/contextVideo recording of the learningPossible data sources
  33. 33. LearnersDataAnalysisThe Learning Analytics cycle
  34. 34. Recommendations for materialRecommendations for pupils / mentorsPrediction of students at riskFinding bottlenecks in contentUpdating cognitive / user modelsAnalysing video control behaviorSocial Network AnalysisDiscourse AnalyticsHead pose trackingTracking speech at a tableTypical analysis
  35. 35. LearnersDataAnalysisInterventionThe Learning Analytics cycle
  36. 36. ReflectionShowing a prediction of successOverview of what you didOverview of what the group didInsight in the group processSuggestionLearning materialIntelligent CurriculumPotential partnersPotential mentorsBetter learning approachIntervention via student
  37. 37. ReflectionShowing a prediction of successOverview of what a student didOverview of what the group didInsight in the group processSuggestionNew learning materialPotential partnersPotential mentorsBetter teaching approachIntervention via teacher
  38. 38. Adaptive learning materialAdaptive navigationAdaptive testsClean-up of bad materialAutomatic intervention
  39. 39. LearnersDataAnalysisInterventionThe Learning Analytics cycle
  40. 40. What are potential issues or downsides?Critical thinking
  41. 41. PrivacyLack of dataPedagogical effectJumping to conclusionsEnforcing the factory modelTool-centric vs. Learner-centricPotential issues
  42. 42. What could possible scenarios be?The future of learning
  43. 43. Are droids taking our jobs?
  44. 44. Official sources of information
  45. 45. People that inspired meSir Ken Robinson Noam Chomsky Eric MazurGeorge Siemens Erik Duval Salman Khan
  46. 46. Im not saying everythingshould be changedIm saying everythingshould be questioned
  47. 47. Thank youhttp://www.slideshare.net/sanderlatour

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