Analysing the Relationship between Learning Styles and Navigation Behaviour in Web-Based Educational System

Nabila Bousbia, Issam Rebai, Jean-Marc Labat, Amar Balla

Abstract


The aim of our research is to automatically deduce the learning style from the analysis of browsing behaviour. To find how to deduce the learning style, we are investigating, in this paper, the relationships between the learner’s navigation behaviour and his/her learning style in web-based learning. To explore this relation, we carried out an experiment with 27 students of computer science at the engineering school (ESI-Algeria). The students used a hypermedia course on an e-learning platform. The learners’ navigation behaviour is evaluated using a navigation type indicator that we propose and calculate based on trace analysis. The findings are presented with regard to the learning styles measured using the Index of Learning Styles by (Felder and Solomon 1996). We conclude with a discussion of these results.

https://doi.org/10.34105/j.kmel.2010.02.029


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Laboratory for Knowledge Management & E-Learning, The University of Hong Kong