Educational Data Mining Methods: A Survey
Abdul Aleem, Manoj Madhava Gore
Abstract
Educational Data Mining (EDM) is an emerging inter-disciplinary research area that involves education and computer science. EDM employs data mining tools and techniques, on large datasets related to education, to extract meaningful and useful information. EDM works toward the improvement of educational processes by introducing better and effective learning practices. EDM methods refer to the set of methods that are used for building models/applications. This article presents an extensive literature survey of EDM methods. The article also discusses research trends and challenges in EDM. This insight into EDM attempts to provide useful and valuable information to researchers interested in furthering the field of EDM.