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Learner Modelling Through Analyzing Cognitive Skills and Learning Styles

In: Handbook on Information Technologies for Education and Training

Author

Listed:
  • S. Graf

    (Graduate Institute of Learning and Instruction National Central University)

  • Kinshuk

    (Athabasca University)

Abstract

Providing adaptivity in web-based educational systems supports learners in their learning process and makes learning easier for them. However, providing adaptivity requires knowing the needs of the learners. Therefore learner modelling, the process of building and updating a learner model, is a crucial aspect of adaptive systems and necessary for providing course content that fits to the learners’ needs. In this chapter, we discuss recent research focusing on cognitive traits and learning styles. We show approaches by which cognitive traits and learning styles can be identified. In order to get additional data for improving learner modelling, we discuss investigations about the relationship of cognitive traits and learning styles, and the aspects of adaptation resulting from this combination.

Suggested Citation

  • S. Graf & Kinshuk, 2008. "Learner Modelling Through Analyzing Cognitive Skills and Learning Styles," International Handbooks on Information Systems, in: Heimo H. Adelsberger & Kinshuk & Jan M. Pawlowski & Demetrios G. Sampson (ed.), Handbook on Information Technologies for Education and Training, edition 2, chapter 10, pages 179-194, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-74155-8_10
    DOI: 10.1007/978-3-540-74155-8_10
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