Student Modelling Based on Belief Networks

Article type: Research Article

Authors: Reye, Jim

Affiliations: School of Information System, Queensland University of Technology, Brisbane, Australia. [email protected]

Abstract: Belief networks provide an important way to represent and reason about uncertainty – significant factors for modelling students. These networks provide a way of structuring such models, and allow a system to use a systematic approach when gathering information about the scope of the student's knowledge. This work also provides a theoretically-sound way to update the student model, based on the concept of a dynamic belief network. The relationship to related research is discussed. Finally, the paper describes why the barren node concept is important for computational efficiency in belief-net-based student models.

Journal: International Journal of Artificial Intelligence in Education, vol. 14, no. 1, pp. 63-96, 2004