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An Ontology to Assess the Performances of Learners in an e-Learning Platform Based on Semantic Web Technology: Moodle Case Study

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Europe and MENA Cooperation Advances in Information and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 520))

Abstract

In this paper, we created a system to assess the skills of learners on an e-learning platform using semantic web technologies. Indeed, to supervise learners’ activities in an e-learning platform is a major challenge for teachers and tutors alike. Our approach is based on standards that fall within the area of the semantic web as ontologies, the JENA API, and the SPARQL query language that aim to help a tutor in the monitoring of the activities of learners. The main idea behind our approach is that an ontology can be useful not only as a learning tool, but it can also be used to assess learners’ skills.

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Correspondence to Badr Hssina .

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Hssina, B., Bouikhalene, B., Merbouha, A. (2017). An Ontology to Assess the Performances of Learners in an e-Learning Platform Based on Semantic Web Technology: Moodle Case Study. In: Rocha, Á., Serrhini, M., Felgueiras, C. (eds) Europe and MENA Cooperation Advances in Information and Communication Technologies. Advances in Intelligent Systems and Computing, vol 520. Springer, Cham. https://doi.org/10.1007/978-3-319-46568-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-46568-5_11

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