A Dualistic and Dynamic Student Model Based on “Fuzzy Cluster”

The thesis aims to illustrate the way how to construct a dualistic and dynamic Student Model in SQLTutor intelligent teaching system. The initial level of the Student Model is to collect the data of the student performance, and paradigmatically record and sort out the performance data of the individual student. The senior level of the Student Model is to apply the ldquofuzzy clusterrdquo method to analyze further the data drawn from the initial level so that we can syntagmatically evaluate the overall students. Practice has proved that the Student Model can deliver a qualitative and quantitative evaluation of the individualized online learning of the students.