A Survey on E-Learning Personalization Techniques Using Data Mining

Abstract

Web based education System (E-learning) has the tremendous growth in current learning scenario. Such systems utilize several data mining techniques and tools to evaluate the knowledge level of every user. This survey explores the impact of data mining techniques in adaptive e-learning environment. Implementation adaptive E-learning environment with personalized knowledge evaluation is a challenging task. In this paper, we explore different techniques and methods, which used in such environment and modern e-learning environment. Finally, we list the comparisons of these schemes by some criteria for Web based education system. By applying the most appropriate Data mining techniques on personalized e-learning environment will bring better solution, so based on the comparison, our system gives optimum way to achieve high accuracy in e-learning recommendation.