Student Modelling by Case Based Reasoning

The student model is the key to providing adequate assistance in teaching and adaptive instruction by Intelligent Tutoring Systems (ITS). Student modelling has been recognized as a complex and difficult but important task by researchers. We propose a new approach to student modelling based on Case-Based Reasoning (CBR), which is simple and does not require computationally expensive inference algorithms. This paper presents the application of this approach in developing an ITS, which analyzes the student's problem solving ability in order to obtain the knowledge component of the student model. We apply the formalism of Graph with Classified Concepts and Relations (GCR), an extended model of conceptual graph previously defined by us, to represent the problems, the cases, and the knowledge component of the student model in such systems.