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Learning Analytics - Principles & Constraints

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Learning Analytics - Principles & Constraints

  1. 1. Learning Analytics Principles & Constraints Khalil, Mohammad and Ebner, Martin EdMedia 2015, Montréal
  2. 2. Big Data Analytics
  3. 3. Psychology ComputerScience http://wallpapers.brothersoft.com/track-and-field-93927.html
  4. 4. What Can Learning Analytics do? •  Students improve their performance •  Predict the student’s grades •  Enhance retention percentages •  Point difficulties in courses models
  5. 5. Phases ? Constraints ?
  6. 6. A Life Cycle?
  7. 7. Phases ? Constraints ?
  8. 8. What  if  Learning  Analy/cs  went  wrong?   h5ps://www.flickr.com/photos/thierrylord/4541208666   Mistaken  Predic/ons!   Ethical  breaches!!  
  9. 9. Learning Analytics http://www.beyondblackwhite.com/wp-content/uploads/2011/09/thumbs-down.jpg
  10. 10. Learning Analytics - Constraints
  11. 11. Learning Analytics - Constraints Revealing Personal Information Morality to view students’ data Collecting and Analyzing data Transparency Students’ data deletion policy
  12. 12. Learning Analytics - Constraints Achieving Confidentiality, Integrity and Availability Who owns students data, Students or institutions? Data Protection and Copyright Laws limit the use of LA apps Inaccurate analysis results?
  13. 13. A Framework?
  14. 14. Learning Analytics: Principles & Constraints
  15. 15. THANK YOU Mohammad  Khalil   Ø  Mohammad.Khalil@tugraz.at   “Learning   Analy.cs:   Principles   and   Constraints”,   By   Mohammad   Khalil   &   Mar.n   Ebner,  Graz  University  of  Technology,  EDMEDIA-­‐15’  ,  Canada,  June.  2015   Mar/n  Ebner   Ø  Mar/n.Ebner@tugraz.at  

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