Publications: 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.
A Novel Application of Theory Refinement to Student Modeling [Details] [PDF] Paul Baffes and Raymond J. Mooney In Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), 403-408, Portland, OR, August 1996.
Refinement-Based Student Modeling and Automated Bug Library Construction [Details] [PDF] Paul Baffes and Raymond Mooney Journal of Artificial Intelligence in Education, 7(1):75-116, 1996.
Automatic Student Modeling and Bug Library Construction using Theory Refinement [Details] [PDF] Paul T. Baffes PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1994.
Learning to Model Students: Using Theory Refinement to Detect Misconceptions [Details] [PDF] Paul T. Baffes June 1993. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin.
Using Theory Revision to Model Students and Acquire Stereotypical Errors [Details] [PDF] Paul T. Baffes and Raymond J. Mooney In Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society, 617-622, Bloomington, IN, 1992.