Abstract
This paper deals with an intelligent application in the e-learning area (WELSA), aimed at adapting the courses to the learning preferences of each student. The technical and pedagogical principles behind WELSA are presented, outlining the intelligent features of the system. The learner modeling and adaptation methods are also briefly introduced, together with their realization in WELSA. Finally, the platform is validated experimentally, proving its efficiency and effectiveness on the learning process, as well as the high degree of learner satisfaction with the system.
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Popescu, E., Bădică, C., Moraret, L. (2009). WELSA: An Intelligent and Adaptive Web-Based Educational System. In: Papadopoulos, G.A., Badica, C. (eds) Intelligent Distributed Computing III. Studies in Computational Intelligence, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03214-1_17
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DOI: https://doi.org/10.1007/978-3-642-03214-1_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03213-4
Online ISBN: 978-3-642-03214-1
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