From Black-Box Learning Objects to Glass-Box Learning Objects (original) (raw)

Abstract

In the field of e-learning, a popular solution to make teaching material reusable is to represent it as learning object (LO). However, building better adaptive educational software also takes an explicit model of the learner’s cognitive process related to LOs. This paper presents a three layers model that explicitly connect the description of learners’ cognitive processes to LOs. The first layer describes the knowledge from a logical perspective. The second describes cognitive processes. The third builds LOs upon the two first layers. The proposed model has been successfully implemented in an intelligent tutoring system for teaching Boolean reduction that provides highly tailored instruction thanks to the model.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Quebec at Montreal,
    Philippe Fournier-Viger & Roger Nkambou
  2. Department of Computer Science, University of Sherbrooke,
    Mehdi Najjar & André Mayers

Authors

  1. Philippe Fournier-Viger
  2. Mehdi Najjar
  3. André Mayers
  4. Roger Nkambou

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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Fournier-Viger, P., Najjar, M., Mayers, A., Nkambou, R. (2006). From Black-Box Learning Objects to Glass-Box Learning Objects. 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\_26

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