Gedanken zu Learning Analytics

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Vortrag im Rahmen der OPCO 12 Veranstaltung zu Learning Analytics

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Gedanken zu Learning Analytics

  1. 1. Gedanken zuLearning Analytics Martin Ebner
  2. 2. Horizon Report (2007 - 2012)http://wp.nmc.org/horizon2011/
  3. 3. Educational Data Mining Educationa data mining (EDM) is a field that exploits statistical, machine-learning, and data-mining (DM) algorithms over the different types of educational data. Its main objective is to analyze these types of data in order to resolve educational research issues.Romero, C. (2010) Educational Data Mining: A Review of the State of the Art - in:Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEETransactions on, 40, p. 601 - 618
  4. 4. ... there are 11 fields • Analysis and Visualization of Data, • Providing Feedback for Supporting Instructors • Recommendations for Students • Predicting Student’s Performance • Student Modeling • Detecting Undesirable Student Behaviors • Grouping Students • Social Network Analysis • Developing Concept Maps • Constructing Courseware • Planning and SchedulingRomero, C. (2010) Educational Data Mining: A Review of the State of the Art - in:Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEETransactions on, 40, p. 601 - 618
  5. 5. Learning Analytics Learning Analytics is the use of intelligent data, learner-produced data, and analysis models to discover information and social connections, and to predict and advise on learning.George Siemens (2010) http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics
  6. 6. Learning Analytics Learning Analytics is about collecting traces that learners leave behind and using those traces to improve learning.Erik Duval (2012) http://www.slideshare.net/erik.duval/learning-analytics-13050389
  7. 7. It‘s all abouthttp://www.flickr.com/photos/neeravbhatt/6995946039
  8. 8. Interpretation Informationhttp://www.flickr.com/photos/auuep/3357824170
  9. 9. Beispiel ... ein scheinbar simples Problem ...
  10. 10. Beispiel ... das kleine EinmalEins für Volksschulkinder ...
  11. 11. http://youtu.be/P9qVWtVWYQI
  12. 12. http://mathe.tugraz.at
  13. 13. http://mathe.tugraz.at
  14. 14. Funktionsweise des Algorithmus !http://mathe.tugraz.at
  15. 15. Analyse • Beobachtungs zeitraum: 1,5 Monate • n = 230 • > 750 Sessions • > 28.000 generierte Beispiele • > 6 Minuten / Session im Schnitt !http://mathe.tugraz.at
  16. 16. Analyse ! !http://mathe.tugraz.at
  17. 17. Analyse - Alle BenutzerInnen !http://mathe.tugraz.at
  18. 18. Analyse - Alle BenutzerInnen !http://mathe.tugraz.at
  19. 19. Detailanalyse ... Lernfortschritt ! ! ... Lernratehttp://mathe.tugraz.at
  20. 20. http://mathe.tugraz.at/~mickname/access/login
  21. 21. Learning Analytics ist die Interpretation von lernerspezifischen Daten um den individuellen Lernprozess gezielt zu verbessern.Martin Ebner & Martin Schön (2012)
  22. 22. Potenzial ist heute noch schwer abschätzbar, da mit zunehmender Datenmenge gänzlich neue Sichtweisen gewonnen werden können. ABER ...Martin Ebner & Martin Schön (2012)
  23. 23. Peter Purgathofer (2010), Gesellschaftliche Aspekte der Informationstechnologie
  24. 24. Peter Purgathofer (2010), Gesellschaftliche Aspekte der Informationstechnologie
  25. 25. Slides available at: http://elearningblog.tugraz.at SOCIAL LEARNING Computer and Information Services Graz University of Technology Graz University of Technology Martin Ebner martin.ebner@tugraz.at mebner http://elearning.tugraz.at

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