Knowledge representation for an intelligent tutoring system based on a multilevel causal model
An explicit representation of knowledge is central for an Intelligent Tutoring System (ITS). In order for a system to acquire the necessary flexibility, its knowledge representation framework should distinguish between several types of knowledge and structure them in layers. Here, we present a method for representing domain knowledge for an ITS, using hierarchical knowledge structures and a multilevel causal model of the domain. The successive levels of this causal model increase in complexity to more closely approximate a complete domain model. The resulting knowledge structures have the flexibility that is needed to invoke a sophisticated instructional session.
Unable to display preview. Download preview PDF.
- 1.Anderson, J. R. (1988). The expert module. In Polson, M. C. and Richardson, J. J., Eds., Foundations of Intelligent Tutoring Systems, Lawrence Erlbaum Associates Publishers, Hillsdale, New Jersey, pp. 21–53.Google Scholar
- 2.Kim, N. (1989a). An intelligent tutoring system for physiology. Unpublished doctoral dissertation, Computer Science Department, Illinois Institute of Technology, Chicago, Illinois.Google Scholar
- 3.Kim, N., Evens, M., Michael, J. A. and Rovick, A. A. (1989b). CIRCSIMTUTOR: An intelligent tutoring system for circulatory physiology. In Proceedings of the International Conference on Computer-Assisted Learning, Dallas, TX. pp. 254–266.Google Scholar
- 4.Michael, J. A., Rovick, A. A. (1991a). Does use of a CBE program assist students to learn? Federation of American Societies for Experimental Biology Annual Meeting. Atlanta, GA. pp. A1115.Google Scholar
- 5.Michael, J. A., Rovick, A. A., Evens, M. W., Shim, L., Woo, C, and Kim, N. (1991b). The uses of multiple student inputs in modeling and lesson planning in CAI and ICAI programs. Accepted for presentation at The 4th ICCAL Conference.Google Scholar
- 6.Rovick, A. A. and Brenner, L. (1983). HEARTSIM: A cardiovascular simulation with didactic feedback. In The Physiologist, 26. pp. 236–239.Google Scholar
- 7.Rovick, A. A. and Michael, J. A. (1986). CIRCSIM: An IBM PC computer teaching exercise on blood pressure regulation. In proc. XXX TUPS Congress, Vancouver, CanadaGoogle Scholar
- 8.Wielinga, B. J. and Breuker, J. A. (1986). Models of expertise. In Proceedings of ECAI, Brighton, UK pp. 306–318.Google Scholar
- 9.Wielinga, B. J., Bredeweg, B. and Breuker, J. A. (1987). Knowledge acquisition for expert systems. In Nossum, R. T., Ed., Advanced Topics in Artificial Intelligence, Springer-Verlag, New York, pp. 96–124.Google Scholar