Student Modeling for Intelligent Tutoring Systems
Intelligent tutoring studies the use of AI techniques in computer-aided instruction. An important aspect concerns building a model of the student's current understanding of the domain in order to direct the tutoring process. Our work in the area has focused on using theory refinement to automatically construct a student model from correct domain knowledge and sample student behavior.
Publications
A Novel Application of Theory Refinement to Student Modeling 1996
Paul Baffes and Raymond J. Mooney, In Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), pp. 403-408, Portland, OR, August 1996.
Refinement-Based Student Modeling and Automated Bug Library Construction 1996
Paul Baffes and Raymond Mooney, Journal of Artificial Intelligence in Education, Vol. 7, 1 (1996), pp. 75-116.
Automatic Student Modeling and Bug Library Construction using Theory Refinement 1994
Paul T. Baffes, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Learning to Model Students: Using Theory Refinement to Detect Misconceptions 1993
Paul T. Baffes, unpublished. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin.
Using Theory Revision to Model Students and Acquire Stereotypical Errors 1992
Paul T. Baffes and Raymond J. Mooney, In Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society, pp. 617-622, Bloomington, IN 1992.
Labs
Machine Learning