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ITS in Ill-Defined Domains: Toward Hybrid Approaches

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Intelligent Tutoring Systems (ITS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6095))

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Abstract

Classical approaches for supporting tutoring services face several limitations for ill-defined domains. To overcome these limitations, we argue for the utilization of hybrid approaches for supporting tutoring services. In this paper, we describe a hybrid model that combines an expert system, the model-tracing paradigm, and a data mining approach in an ITS for learning to operate a robotic arm. The result is tutoring services that exceed what was possible to offer with each individual approach for this domain.

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References

  1. Fournier-Viger, P., Nkambou, R., Mephu Nguifo, E.: Supporting tutoring services in ill-defined domains. In: Nkambou, et al. (eds.) Advances in intelligent tutoring systems. Springer, Heidelberg (2010)

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  6. Fournier-Viger, P., Nkambou, R., Mephu Nguifo, E.: Exploiting Partial Problem Spaces Learned from Users’ Interactions to Provide Key Tutoring Services in Procedural and Ill-Defined Domains. In: Proc. AIED 2009, pp. 383–390. IOS Press, Amsterdam (2009)

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Author information

Authors and Affiliations

  1. Dept. of Computer Sciences, University of Quebec in Montreal, Canada

    Philippe Fournier-Viger & Roger Nkambou

  2. Dept. of Mathematics and Computer Sciences, Université Blaise-Pascal Clermont 2, France

    Engelbert Mephu Nguifo

  3. Dept. of Computer Sciences, Université of Sherbrooke, Canada

    André Mayers

Authors
  1. Philippe Fournier-Viger
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  2. Roger Nkambou
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  3. Engelbert Mephu Nguifo
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  4. André Mayers
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Editor information

Editors and Affiliations

  1. Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Vincent Aleven  & Jack Mostow  & 

  2. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

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© 2010 Springer-Verlag Berlin Heidelberg

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Fournier-Viger, P., Nkambou, R., Mephu Nguifo, E., Mayers, A. (2010). ITS in Ill-Defined Domains: Toward Hybrid Approaches. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_57

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  • DOI: https://doi.org/10.1007/978-3-642-13437-1_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13436-4

  • Online ISBN: 978-3-642-13437-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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