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Using case-based reasoning for exercise design in simulation-based training

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

Abstract

In many simulation-based training systems, particularly in systems for training operational skills, one of the main issues is the creation of repeated and gradually more complicated training exercises/tasks for the development of the student's skills. In this paper we propose the use of case-based reasoning techniques for representing and designing a follow-up exercise. Such an approach tailors the problems presented in training exercises to facilitate the mastery of specific goals to individual students. An exercise case represents both knowledge concerning the subject area and knowledge of problem situations to be solved within a training exercise. Training goals are defined based on subject topics and problem complexity. A process model for designing training exercises is presented in the context of ATC training.

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Claude Frasson Gilles Gauthier Alan Lesgold

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© 1996 Springer-Verlag Berlin Heidelberg

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Zhang, D.M., Alem, L. (1996). Using case-based reasoning for exercise design in simulation-based training. 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_155

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  • DOI: https://doi.org/10.1007/3-540-61327-7_155

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61327-5

  • Online ISBN: 978-3-540-68460-2

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