Educational Data Mining for Teaching and Learning

Abstract

Educational Data Mining (EDM ) seeks to use plethora of data in educational context to better understand learners and learning. It also concerns about computational approaches that combine data and theory to transform educational practice. The key EDM techniques for teaching and learning are first discussed, which include prediction models, structure discovery, and relationship mining. Then the most typical tasks related to teaching and learning that have been resolved through EDM techniques are reviewed, such as feedback for supporting teachers, recommendations for students, prediction of student performance, and detection of undesirable student behaviors.