Abstract
The use of network technology to provide online courses is the latest trend in the training and development industry and has been defined as the “e-Learning revolution”. On the other hand, Online Social Networks (OSNs) represent today an effective possibility to have common and easy-to-use platforms for supporting e-Learning activities. However, as underlined by previous studies, many of the proposed e-Learning systems can result in confusion and decrease the learner’s interest. In this paper, we introduce the possibility to form e-Learning classes in the context of OSNs. At the best of our knowledge, any of the approaches proposed in the past considers the evolution of on-line classes as a problem of matching the individual users’ profiles with the profiles of the classes. In this paper, we propose an algorithm that exploits a multi-agent system to suitably distribute such a matching computation on all the user devices. The good effectiveness and the promising efficiency of our approach is shown by the experimental results obtained on simulated On-line Social Networks data.
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Acknowledgments
This work has been supported by project PRISMA PON04a2 A/F funded by the Italian Ministry of University and NeCS Laboratory of the Department DICEAM, University Mediterranea of Reggio Calabria.
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Comi, A., Fotia, L., Messina, F., Pappalardo, G., Rosaci, D., Sarné, G.M.L. (2016). Forming Homogeneous Classes for e-Learning in a Social Network Scenario. In: Novais, P., Camacho, D., Analide, C., El Fallah Seghrouchni, A., Badica, C. (eds) Intelligent Distributed Computing IX. Studies in Computational Intelligence, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-25017-5_13
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DOI: https://doi.org/10.1007/978-3-319-25017-5_13
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