Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

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.

Show abstracts
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.