Abstract
QUE is an exploratory environment for users of rule based intelligent systems. Its original motivation was the question of how to analyze and explain the discrepancies in rule-based intelligent tutoring systems, between “near miss” incorrect responses of a student and the system’s knowledge of the “correct” line of reasoning. It is currently under development as a suite of techniques which provide explanation by supporting the exploration of a system’s reasoning processes. This paper describes some of the exploratory modes, the underlying mechanisms that support them, and a number of ways in which these modes and mechanisms might be incorporated into intelligent tutoring architectures.
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© 1998 Springer-Verlag Berlin Heidelberg
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Metzler, D.P., Martincic, C.J. (1998). Explanatory Mechanisms for Intelligent Tutoring Systems. In: Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds) Intelligent Tutoring Systems. ITS 1998. Lecture Notes in Computer Science, vol 1452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-68716-5_19
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DOI: https://doi.org/10.1007/3-540-68716-5_19
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