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    Computer Science, Université du Québec à Montréal, Montreal

    Building Intelligent Tutoring Systems for Ill-Defined Domains

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    Domains in which traditional approaches for building tutoring systems are not applicable or do not work well have been termed ill-defined domains. This chapter provides an updated overview of the problems and solutions for building intelligent tutoring systems for these domains. It adopts a presentation based on the following three complementary and important perspectives: the characteristics of ill-defined domains, the approaches to represent and reason with domain knowledge in these domains, and suitable teaching models. Numerous examples are given throughout the chapter to illustrate the discussion.

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    Description

    Title : Building Intelligent Tutoring Systems for Ill-Defined Domains
    Author(s) : Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo
    Abstract : Domains in which traditional approaches for building tutoring systems are not applicable or do not work well have been termed ill-defined domains. This chapter provides an updated overview of the problems and solutions for building intelligent tutoring systems for these domains. It adopts a presentation based on the following three complementary and important perspectives: the characteristics of ill-defined domains, the approaches to represent and reason with domain knowledge in these domains, and suitable teaching models. Numerous examples are given throughout the chapter to illustrate the discussion.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2010

    Affiliations Computer Science, Université du Québec à Montréal, Montreal
    Editors : Roger Nkambou, Jacqueline Bourdeau, Riichiro Mizoguchi
    Volume : 308
    Publisher : Springer Berlin Heidelberg
    City : Berlin, Heidelberg
    Pages : 81 - 101
    Url : http://www.springerlink.com/index/10.1007/978-3-642-14363-2_5
    Isbn : 978-3-642-14362-5
    Doi : 10.1007/978-3-642-14363-2_5

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