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A Semantic Web Solution for Enhancing the Interoperability of E-Learning Systems by Using Next Generation of SCORM Specifications

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1102))

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Abstract

E-learning is a very dynamic field, constantly growing, which refers to an educational content or learning experiences provided or made by means of digital technologies. The development of this area has a direct impact on the quality of education and cost reduction.

E-learning is now dominated by learning management systems such as Moodle, to improve the interoperability of these systems; the use of data/resources is a major requirement, this need to push the e-Learning community to seek new approaches to improve this interoperability of systems. On the other hand, semantic Web technologies offers standards like RDF allows to describe Web resources with their metadata. We propose in this work an approach based on Semantic Web technology to improve the interoperability of e-Learning systems like Moodle.

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Notes

  1. 1.

    IMS Global Learning Consortium.

  2. 2.

    Contextualized Attention Metadata.

  3. 3.

    National Science Digital Library Paradata.

  4. 4.

    Assignable Unit (Data).

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Correspondence to Abdellah Bakhouyi .

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Bakhouyi, A., Dehbi, R., Banane, M., Talea, M. (2020). A Semantic Web Solution for Enhancing the Interoperability of E-Learning Systems by Using Next Generation of SCORM Specifications. 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_5

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