Learners' navigation behavior identification based on trace analysis
User Modeling and User-Adapted Interaction
Adaptable and reusable query patterns for trace-based learner modelling
EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
Unifying heterogeneous e-learning modalities in a single platform: CADI, a case study
Computers & Education
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Research in individual differences and in particular, learning and cognitive style, has become a basis to consider learner preferences in a web-based educational context. How learner’s learning style influences his/her navigation behavior has been investigated by several studies, which indicate that we can deduce the learning style from the navigation behavior. In this paper, we propose an indicator of “navigation typology”. We detail the way in which this indicator is calculated, based on tracks analysis, which are aggregated into low and intermediate level indicators to determine the value of the navigation typology.