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Interoperability for ITS: An Ontology of Learning Style Models

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Intelligent Tutoring Systems (ITS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7315))

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Abstract

Intelligent Tutoring Systems (ITS) often use information about student learning style to inform the decision about what activity or information to present to the learner.However, learning style models are quite different from one another and are not interchangeable. This paper discusses an ontology of learning style models that enables tutoring systems to take advantage of learning styles information from multiple learning style models.

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References

  1. Coffield, F., Moseley, D., Hall, E., Ecclestone, K.: Learning styles and pedagogy in post-16 learning (2004)

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  3. Fleming, N.: VARK – a guide to learning styles (2010), http://www.vark-learn.com/english/index.asp

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Author information

Authors and Affiliations

  1. University of Guelph, Guelph, Ontario, Canada

    Judi McCuaig & Robert Gauthier

Authors
  1. Judi McCuaig
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  2. Robert Gauthier
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Editor information

Editors and Affiliations

  1. University of Montpellier & CNRS LIRMM, 161 rue Ada, 34095, Montpellier, France

    Stefano A. Cerri

  2. NASA and Florida Institute for Human and Machine Cognition, Human Centered Computing - Intelligent Systems Division, 94035, Moffett Field, CA, USA

    William J. Clancey

  3. Department of Applied Informatics and Multimedia, Technological Educational Institute of Crete, School of Applied Technology, Stavromenos, P.O.Box 1939, 71004, Heraklion, Crete, Greece

    Giorgos Papadourakis

  4. Neoanalysis Ltd., Marni 56, 10437, Athens, Greece

    Kitty Panourgia

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© 2012 Springer-Verlag Berlin Heidelberg

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McCuaig, J., Gauthier, R. (2012). Interoperability for ITS: An Ontology of Learning Style Models. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_114

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  • DOI: https://doi.org/10.1007/978-3-642-30950-2_114

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30949-6

  • Online ISBN: 978-3-642-30950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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