期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：2
页码：344-346
出版社：International Journal of Soft Computing & Engineering
摘要：E-learning is a modern way of learning in which teachers and students don’t have actual contact. It’s a web based or online learning in which e-learners enroll in educational courses and can learn online. Unlike traditional classrooms in which some students don’t put their queries to teachers due to hesitation e-learners can put any kind of queries to teachers because they don’t have face to face contact. In E- learning system students have different kind of behavior. Though e-learning courses are designed on the basis of “same content fits all” yet students feel difficulty because every students’ learning ability depends upon their individual learning ability. This study proposes the analysis of students’ behavior using data mining tools and techniques. Classification and clustering techniques are used to analyze the relationship between usage of courses and performance of students. Students’performance depends upon their grades, how much time they spend in learning, usage of courses as well as richness of course quality. The study uses data from previous approach, E-learning data from Greek University. This paper uses same approach with different data mining tools and techniques.
关键词：E-learning; data mining; classification; clustering.
