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Learning Analytics
Principles & Constraints
Khalil, Mohammad and Ebner, Martin
EdMedia 2015, Montréal
Big Data Analytics
Psychology
ComputerScience
http://wallpapers.brothersoft.com/track-and-field-93927.html
What Can Learning Analytics do?
•  Students improve their performance
•  Predict the student’s grades
•  Enhance retention percentages
•  Point difficulties in courses models
Phases ?
Constraints ?
A Life Cycle?
Phases ?
Constraints ?
What	
  if	
  Learning	
  Analy/cs	
  went	
  wrong?	
  
h5ps://www.flickr.com/photos/thierrylord/4541208666	
  
Mistaken	
  Predic/ons!	
  
Ethical	
  breaches!!	
  
Learning Analytics
http://www.beyondblackwhite.com/wp-content/uploads/2011/09/thumbs-down.jpg
Learning Analytics - Constraints
Learning Analytics - Constraints
Revealing Personal Information
Morality to view students’ data
Collecting and Analyzing data
Transparency
Students’ data deletion policy
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?
A Framework?
Learning Analytics: Principles & Constraints
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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Learning Analytics - Principles & Constraints