Learning Analytics Principles & Constraints
Khalil, Mohammad and Ebner, Martin EdMedia 2015, Montréal
What Can Learning Analytics do?
• Students improve their performance
• Predict the student’s grades
• Enhance retention percentages
• Point difficulties in courses models
What if Learning Analy/cs went wrong?
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Mistaken Predic/ons!
Ethical breaches!!
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?
THANK YOU
Mohammad Khal i l Ø [email protected]
“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/[email protected]