How to determine the Learners’ Learning Styles in e-Learning Situation?

نویسندگان

  • Nabila Bousbia
  • Jean-Marc Labat
  • Issam Rebai
  • Amar Balla
چکیده

In this paper, we describe an automatic learning styles detection approach of learners in e-learning platform from observable indicators relating to their browsing and interactions. Based on the work in the fields of learning styles, user modelling, and track analysis, we propose a classification of learning style that encompasses different styles models proposed in the literature, and whose values are calculated by identifying dependent indicators at the different interaction levels identified.

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تاریخ انتشار 2008