Conferences, SoLAR Southern Flare Conference

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Workshop 2: Introduction to Educational Data Mining
Yiling Zeng, Shirley Alexander

Last modified: 2012-09-20


Educational Data Mining (EDM) is an emerging area of research concerned with the use of data mining techniques in education in order to predict student performance, provide recommendations on optimal student interventions, and develop models of student behaviour. It is one of a number of contemporary approaches to learning analytics which relies on the development of data mining techniques.

This workshop will commence with a brief overview of the evolution of the Intelligent Tutoring Systems of the 1980s which attempted to build student models to today’s Educational Data Mining techniques. A variety of techniques on the prediction of student performance, student modelling, student grouping, social network analysis and feedback and recommendation providing will also be introduced in this workshop.