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Automated generation of examples for a tutorial in case-based argumentation

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Intelligent Tutoring Systems (ITS 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 608))

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Abstract

Examples in our domain are argumentation problems involving small sets of legal cases that are related in interesting ways. We call these collections of cases Argument Contexts. We have identified several types of Argument Contexts that can be used to teach the Issues in our curriculum for case-based argumentation. We have developed a program that generates Argument Contexts that address these Issues and have other pedagogically desirable properties, such as being clear and concise. In a preliminary feasibility study a human tutor used examples generated by the program with encouraging results. Because assembling Argument Contexts by hand is time-consuming, we believe that our program can be a useful tool for law professors who teach reasoning with cases. Also, we plan to use it as a component of an intelligent tutoring system for case-based argumentation that we are currently developing.

This work is supported by a NSF Presidential Young Investigator Award and a grant from the National Center for Automated Information Retrieval.

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References

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Authors and Affiliations

  1. Intelligent Systems Program, Learning Research and Development Center, and School of Law, University of Pittsburgh, 15260, Pittsburgh, Pennsylvania

    Vincent Aleven & Kevin D. Ashley

Authors
  1. Vincent Aleven
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  2. Kevin D. Ashley
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Claude Frasson Gilles Gauthier Gordon I. McCalla

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© 1992 Springer-Verlag Berlin Heidelberg

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Aleven, V., Ashley, K.D. (1992). Automated generation of examples for a tutorial in case-based argumentation. In: Frasson, C., Gauthier, G., McCalla, G.I. (eds) Intelligent Tutoring Systems. ITS 1992. Lecture Notes in Computer Science, vol 608. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55606-0_67

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  • DOI: https://doi.org/10.1007/3-540-55606-0_67

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  • Print ISBN: 978-3-540-55606-0

  • Online ISBN: 978-3-540-47254-4

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