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 - 4. Types of problems EDM addresses and the corresponding Machine Learning methods employed
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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
4. Types of problems EDM addresses and the corresponding Machine Learning methods employed
This Unit presents a rough classification of education-related problems addressed by EDM and relates each class of problems to the major / most popular Machine Learning methods and tools employed to address them.