Kamsa, I. and Elouahbi, R. and El Khoukhi, F. and Karite, T. and Zouiten, H. (2016) Optimizing collaborative learning path by ant's optimization technique in e-learning system. In: UNSPECIFIED.

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The approach that we propose in this paper is part of the optimization of the collaborative learning in the e-learning environment. It is particularly interested in the automatic creation of groups called homogeneous teams, based on a set of criteria to highlight the similarity between the learners. This similarity is calculated using a similarity index that is the Euclidean distance. Then an optimal path guiding each community is built, through a dynamic adaptation of the optimization technique by ant colony. In this article, we have implemented the methodological framework and the algorithmic modeling of our approach, given that our future work will focus on the implementation and the empirical validation of our design. © 2016 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Ant colony optimization; Computer aided instruction; E-learning; Education, Collaborative learning; Dynamic adaptations; E-learning environment; Empirical validation; Homogeneous group; Methodological frameworks; Optimal paths; Optimization techniques, Engineering education
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46
URI: http://eprints.umi.ac.ma/id/eprint/2565

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