Course : MRES.B.02.08 E-learning: Mining, Analytics and Visualization of Educational Data
Course code : REEE115
MRES.B.02.08 - Maria RANGOUSSI, Katerina ZACHARIADOU
Units - 5. Classification, Prediction, Clustering: worked examples and case studies
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Units
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0. Sample student evaluation material
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1. Introduction to Big Data, Data Mining and Educational Data Mining
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2. Data Mining Nomenclature – EDM or LA or both?
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3. Overview of current research and open questions
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4. Types of problems EDM addresses and the corresponding Machine Learning methods employed
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5. Classification, Prediction, Clustering: worked examples and case studies
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6. From Data Visualization to Visual Analytics: current state, gaps and potentials
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0. Sample student evaluation material
5. Classification, Prediction, Clustering: worked examples and case studies
Classification, Prediction and Clustering represent three major classes of methods that scientists frequently employ to address problems across practically any discipline, Education being no exception. Worked examples and case studies from the field of Education are presented in this Unit for each of these tasks.