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International Conference on Intelligent Tutoring Systems

ITS 2006: Intelligent Tutoring Systems pp 813Cite as

Improving Adaptivity in Learning Through Cognitive Modeling

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4053))

Abstract

The increasing demand of distant education and the growing degree of diversity of the learner group have created the widespread practice of e-learning which takes place in virtual learning environments (VLEs). By exploring those VLEs, learners perceive, analyse, assimilate, and interact with the pedagogical presentation and then "construct" their understanding or develop certain skills of the domain.

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Author information

Authors and Affiliations

  1. Director, Advanced Learning Technologies Research Centre Massey University, Palmerston North, New Zealand

    Kinshuk

Authors
  1. Kinshuk
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Editor information

Editors and Affiliations

  1. JAIST, 1-1, Asahi-dai, Nomi, 923-1292, Ishikawa, Japan

    Mitsuru Ikeda

  2. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USA

    Kevin D. Ashley

  3. Graduate Institute of Network Learning Technology, National Central University, 300, Jhongda Rd., 32001, Jhongli City,Taoyuan County, Taiwan

    Tak-Wai Chan

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kinshuk (2006). Improving Adaptivity in Learning Through Cognitive Modeling. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_110

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  • DOI: https://doi.org/10.1007/11774303_110

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35159-7

  • Online ISBN: 978-3-540-35160-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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