Abstract
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.
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© 1992 Springer-Verlag Berlin Heidelberg
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Khuwaja, R.A., Evens, M.W., Rovick, A.A., Michael, J.A. (1992). Knowledge representation for an intelligent tutoring system based on a multilevel causal model. In: Frasson, C., Gauthier, G., McCalla, G.I. (eds) Intelligent Tutoring Systems. ITS 1992. Lecture Notes in Computer Science, vol 608. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55606-0_28
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DOI: https://doi.org/10.1007/3-540-55606-0_28
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