This paper introduces a course module in the domain of Artificial Intelligence, implemented in a web-based educational system called WELSA. The course is specifically tailored to capture the learning style of the students, while they browse through the module. The way of organizing and indexing the constituent educational resources is briefly introduced and then illustrated with a course fragment. In order to validate the proposed approach, a selection of learners' behavioural patterns are analyzed and interpreted, being subsequently correlated with the learning preferences of the students.
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