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. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Fournier-Viger, P., Nkambou, R., & Nguifo, E. M. (2010). Building intelligent tutoring systems for ill-defined domains. Studies in Computational Intelligence, 308, 81–101. https://doi.org/10.1007/978-3-642-14363-2_5
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