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

Nabila Bousbia (1) , Issam Rebaï , Jean-Marc Labat (1) , Amar Balla

1 MOCAH - Modèles et Outils en ingénierie des Connaissances pour l'Apprentissage Humain

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.

Domaines: Informatique [cs]

Nabila Bousbia, Issam Rebaï, Jean-Marc Labat, Amar Balla. How to determine the Learners' Learning Styles in e-Learning Situation?. ICCE'2008, International Conference on Computer in Education, Oct 2008, Taiwan, China. ⟨hal-01300841⟩