Effect of mining educational data to improve adaptation of learning in e-learning system

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 datamining techniques will improve the learning style adaptation, learning content organisation and learning objects recommendations based on the instantaneous data collected through the web based learning management system like moodle. 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 shows the clear snopshot of the analysis.