Abstract
The personalization of learners’ educational paths in MOOC (Massive Open Online Courses) is one of the major questions that help teachers in their functions of teaching and monitoring of learners. Being intended for a huge and multiple number of learners, MOOCs are problematic for teachers in monitoring and understanding each learner’s profile. It is for these reasons that we propose a semantic web (SW) approach to build a recommendation system in a graphical interface that we created using the NetBeans IDE. The goal is to enable learners who follow the MOOC to directly head for modules that meet the characteristics and requirements of their profiles. Moreover, the proposed approach is based on some essential technologies such as resource description framework (RDF), ontology, web ontology language (OWL) and RDF query language (SPARQL). Thus, the main objective of this paper is to present another beneficial technique aimed at improving distance courses by allowing teachers and learners to work in better conditions. The primary results showed that the performance of the (SW) based recommendation system is effective.
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Dhaiouir, I., Ezziyyani, M., Khaldi, M. (2022). The Personalization of Learners’ Educational Paths E-learning. In: Ben Ahmed, M., Teodorescu, HN.L., Mazri, T., Subashini, P., Boudhir, A.A. (eds) Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-3637-0_37
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DOI: https://doi.org/10.1007/978-981-16-3637-0_37
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