Abstract
A central concern when developing intelligent tutoring systems is student representation. This paper introduces work-in-progress on producing a scheme that describes various imprecision in student knowledge. The scheme is based on domain representation through multiple generalized constraints. The adopted approach to domain and student representation will facilitate cognitive analysis performed as propagation of generalized constraints. Qualitative reasoning provides the basis for the approach and Zadeh’s computational theory of perception complements the technique with the ability to process perception-based information.
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Serguieva, A., Khan, T.M. (2004). Student Representation Assisting Cognitive Analysis. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2004. Lecture Notes in Computer Science, vol 3220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30139-4_104
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DOI: https://doi.org/10.1007/978-3-540-30139-4_104
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22948-3
Online ISBN: 978-3-540-30139-4
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