Provided by: Universal Insurance Managers, Inc.
Topic: Big Data
Date Added: Nov 2012
Recently, educational data mining has become an interesting research area to discover and extract hidden knowledge of students' patterns from educational environment. In this paper, the authors have two purposes. First to apply the data mining techniques, namely, classification, clustering and association rule mining algorithms on the data stored on the e-learning (Moodle system) database to extract knowledge's that help to understand students' behavior's and patterns, improve teaching practice, and to assist educators to evaluate and improve e-learning system.