Abstract
When a belief network is used to represent a student model, we must have a theoretically-sound way to update this model. In ordinary belief networks, it is assumed that the properties of the external world, modelled by the network, do not change as we go about gathering evidence related to those properties. I present a general approach as to how student model updates should be made, based on the concept of a dynamic belief network, and then show this work relates to previous research in this area.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Villano, M. (1992) Probabilistic student models: Bayesian belief networks and knowledge space theory. In Frasson, C., Gauthier, C. and McCalla, G.I. (eds.) Intelligent Tutoring Systems (Proceeding of the Second International Conference, ITS’92, Montreal, Canada), 491–498. Berlin: Springer-Verlag.
Reye, J. (1996) A belief net backbone for student modelling. In Frasson, C., Gauthier, C. and Lesgold, A. (eds.) Intelligent Tutoring Systems (Proceeding of the Third International Conference, ITS’96, Montreal, Canada), 596–604. Berlin: Springer-Verlag.
Dean, T., and Kanazawa, K. (1989) A model for reasoning about persistence and causation. Computational Intelligence 5, 142–150.
Corbett, A., and Anderson, J. (1992) Student modeling and mastery learning in a computer-based programming tutor. In Frasson, C., Gauthier, C. and McCalla, G.I. (eds.) Intelligent Tutoring Systems (Proceeding of the Second International Conference, ITS’92, Montreal, Canada), 413–420. Berlin: Springer-Verlag.
Shute, V. (1995) SMART evaluation: cognitive diagnosis, mastery learning & remediation. In Greer, J. (ed.) Artificial Intelligence in Education, 1995, 123–130. Charlottesville, VA: Association for the Advancement of Computing in Education.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Reye, J. (1998). Two-Phase Updating of Student Models Based on Dynamic Belief Networks. In: Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds) Intelligent Tutoring Systems. ITS 1998. Lecture Notes in Computer Science, vol 1452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-68716-5_33
Download citation
DOI: https://doi.org/10.1007/3-540-68716-5_33
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64770-6
Online ISBN: 978-3-540-68716-0
eBook Packages: Springer Book Archive