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A swarm-based approach to adaptive learning
Vilniaus universitetas | |
Dagienė, Valentina | Vilniaus universitetas |
Kurilov, Jevgenij | Vilniaus universitetas |
| Date Issued |
|---|
2012 |
ISSN 2048-8637
A simulation process with a dynamic change of LS, when new LOs are inserted, was chosen to verify the pro-posed method. The results reveal that the proposed method, based on a swarm intelligence approach, is suitable for selecting dynamic LS according to learners’ preferences. The developed learner model is based on their learning styles (LSt). The set of the analysed LSts is based on the Honey and Mumford typology. Several approaches can be used to identify a student‘s LSt, including questionnaires and different soft computing techniques. This paper contributes with new developments: 1) an approach of dynamic LS selection, based on a swarm intelligence, and 2) a modified ant colony op-timization algorithm for LS selection. The elaborated approach for LS selec-tion can effectively assist in learners learning by helping them to reach most suitable LOs according to their LSts. Also, the approach is important for tutors by helping them to monitor, refine and improve eLearning mod-ules and courses.