Personalized courseware construction based on Web data mining

In order to adapt the teaching in accordance to an individual student's ability in a distance learning environment, a method to construct personalized courseware is proposed by building a personalized Web tutor tree and mining both context and structure of the courseware. The concept of Web tutor objects and the notion of similarity are proposed. Five algorithms, including Naive Algorithm for tutor topic tree and Level-generate Algorithm to generate a Web tutor topic of K+1 levels, and the experimental results are presented.