Toward a smart E-leaming system (A state of the art)

Nowadays, e-learning has a great deal of importance. Thus, it collects more amounts of information because of the quick development of technologies and the rise of web 2.0. However, a big database is built with online activities by teachers and students. In this way, data analysis makes teachers enable to take more idea about success of the educational processes. Also, it is difficult, even impossible to analyze the collected huge data with manual methods. That is why, several approaches and techniques are applied to propose an effective solution to improve the construction of a smart E-learning system. Data mining is one of the related approaches that can be used to extract knowledge from large amounts of data related to students which will help teachers for making decision. It has different methods and techniques, such as: classification, clustering, regression, decision tree, Neural Networks. In this paper, we presented E-learning problems, on the one hand, and how Data Mining techniques are used to solve them, on the other hand.