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Adaptive assessment and training using the neighbourhood of knowledge states

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Intelligent Tutoring Systems (ITS 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1086))

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Abstract

In this paper, we suggest methods for the adaptive assessment and training of students. The main idea is to apply the theoretical concept of the neighbourhood of a knowledge state to adaptive training. We also describe improvements of existing assessment algorithms. These ideas are implemented in a multi-platform tutoring system shell. This shell has been applied to two different fields of knowledge.

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Claude Frasson Gilles Gauthier Alan Lesgold

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© 1996 Springer-Verlag Berlin Heidelberg

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Dowling, C.E., Hockemeyer, C., Ludwig, A.H. (1996). Adaptive assessment and training using the neighbourhood of knowledge states. In: Frasson, C., Gauthier, G., Lesgold, A. (eds) Intelligent Tutoring Systems. ITS 1996. Lecture Notes in Computer Science, vol 1086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61327-7_157

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  • DOI: https://doi.org/10.1007/3-540-61327-7_157

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61327-5

  • Online ISBN: 978-3-540-68460-2

  • eBook Packages: Springer Book Archive

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