Effective E-Learning Environment Personalization using Web Usage Mining Technology

Presently, more and more Web-based technologies are adopted in e-Learning environment to provide users with relatively convenient and efficient access to the resources on the World Wide Web. Personalized support for learners is becoming even more important when the learning recourse volume is increasing with a dramatic speed. This paper represents the idea of using Web usage mining techniques to enhance the personalized capabilities of e-Learning environment. We describe the idea based on three-tier architecture as data collection and preprocessing, pattern discovery and pattern analysis. Brief algorithms in pattern discovery process are presented. We also show the system architecture of how to integrate the Web usage mining process into the e-Learning system.