Data Mining: A Prediction for Performance Improvement in Online Learning Systems

Data mining in education slowly evolves from the need of simple discovery of frequent patterns and regularities in large data sets toward interactive, user-oriented, on-demand decision supporting. Since data to be mined is usually located in a educational database, there is a promising idea of integrating data mining methods into database management systems (DBMS). The popularity and the use of online learning systems increased through last decades .Student's produce a lot of data through their interactions with the online learning system produce a lot of data, which is often not exploited .In this paper, we show how using data mining techniques can help discovering pedagogically relevant knowledge contained in databases obtained from Web-based educational systems or Online Learning Systems. These findings can be used both to help teachers while managing their class, understand their student's learning and provide proactive feedback to learners and teachers. This paper is a work of the specific application of data mining technique (Classification) in online learning management systems .