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Data Mining Techniques in Education to Improve Adaptation of Learning in E-Learning System

P. Nithya, M. Poorani, B. Uma Maheshwari


The Apply of data mining technique in to domain specific applications is being drastically improved more and more by the researchers to improve the best decision making recommendation systems like e-learning ,e-commerce and etc., In this research work we discuss how the data mining techniques will improve the learning style adaptation, learning content organization and learning objects recommendations based on the instantaneous data collected through the web based learning management system like module. This paper focus the techniques like data classification and clustering techniques to predict the learning style of the peer learners based on the activities they have completed in the teaching learning activity of a particular course. The Experimental results show the clear snapshot of the analysis.


E-Learning, Intelligent Tutor System, Data Classification, Multi Agent, Clustering.

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