Personalized distance education system based on Web mining

Personalized distance education system should be able to find the individual differences of learners and construct personalized learning environment to meet their individual needs. Web mining technology user in this paper aims to provide for each user personalized interfaces and services according as their individual characteristics. In this paper, a functional architecture of a personalized learning system based on Web mining is proposed, and providing learner with a personalized learning environment is a focus. The process of Web mining in this architecture is given and mainly includes four steps: (1) the collection of data, (2) the pretreatment of data, (3) the analysis of data and (4) the determination and generation of personalized output. Finally, we apply the proposed architecture to a typical education system and get satisfactory results.