Application of Data Mining in Personalized Remote Distance Education Web System

Abstract

This paper uses web log mining technology for different users to take a different service policy and provide dif- ferent services and conduct individualized services. Also the paper uses basic theory application of web data mining to remote education process in the distance education. After analysis of system framework of distance education, the paper proposed web data mining application model in remote education and described all module of function. The model uses log information and user information to get interesting mode, and then apply this mode to remote education system in or- der to improve personalized service and can be more conducive to learners. It is benefit to help improve the content and the site topology update which reflects more dynamic and personalized than common distance learning.