Learning Analytics Principles & Constraints

Khalil, Mohammad and Ebner, Martin EdMedia 2015, Montréal

Big Data Analytics

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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?  

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Mistaken  Predic/ons!  

Ethical  breaches!!  

Learning Analytics

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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  Khal i l  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