Abstract
Improving the teaching process in the e-learning platforms is a challenging job, several works in recent years trying to find new methods and approaches to make the learning operation an easy task for all kind of learners. The proposed methods must take into account the difference in learners’ profiles and also the capacity of learning of each learner. In this paper, we proposed a new approach for defining the best way in which the learner must learn, our approach is based on social network analysis (sentiment analysis) and collaborative filtering using the social networks profiles of learners (Facebook and Twitter) and their knowledge.
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Madani, Y., Erritali, M., Bengourram, J. (2020). A Recommender Approach for an E-Learning Platform Based on Social Network Analysis and Collaborative Filtering. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1102. Springer, Cham. https://doi.org/10.1007/978-3-030-36653-7_4
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DOI: https://doi.org/10.1007/978-3-030-36653-7_4
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