Web Mining Techniques in E-Learning: Tools for Educators

The World-Wide Web is becoming the most important media for collecting, sharing and distributing information. Distance education is a field where web-based technology was very quickly adopted and used for course delivery and knowledge sharing. Educators, using Web-based learning environments, are in desperate need for implicit and automatic ways to get objective feedback from learners in order to better follow the learning process. Moreover, these educators have very little support to evaluate learners’ activities and distinguish between different learners’ online behaviors. In this paper, we discus some important research contributes in web mining techniques in e-learning, with the goal of providing a broad overview rather than an in-depth analysis. We also have briefly compared four e-learning systems using different techniques

Keywords:

E-Learning System , Web mining , Recommendation , Data Clustering , Association rules