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A case-based approach to collaborative learning for systems analyst education

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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 the Business Systems Design learning environment, there may be more than one solution to any given problem. We have developed CAMELOT (Collaborative and Multimedia Environment for Learners on Teams) [10] using the Nominal Group Technique for group problem solving. This paper describes the basic framework of the collaborative learning system, the effectiveness of collaborative learning in designing the Data Model, and how to apply AI technologies such as rule-based and case-based reasoning to the system. By using CAMELOT, each learner learns how to analyze through case studies and how to cooperate with a group in problem solving. Learners come to a deeper understanding from using CAMELOT than from studying independently because they can reach better solutions through discussion, tips from other learners, examination of one another's individual works, and pedagogical actions using case-based reasoning.

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Claude Frasson Gilles Gauthier Alan Lesgold

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© 1996 Springer-Verlag Berlin Heidelberg

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Fuji, T., Tanigawa, T., Kozeni, M., Inui, M., Saegusa, T. (1996). A case-based approach to collaborative learning for systems analyst education. 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_114

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  • DOI: https://doi.org/10.1007/3-540-61327-7_114

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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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