Web-Based Learning Under Tacit Mining of Various Data Sources
DOI:
https://doi.org/10.3991/ijet.v16i16.23405Keywords:
Intelligent tutoring system, open educational resource, description logics, data accessAbstract
Nowadays, many platforms provide open educational resources to learners. So, they must browse and explore several suggested contents to better assimilate their courses. To facilitate the selecting task of these resources, the present paper proposes an intelligent tutoring system that can access teaching contents available on the web automatically and offers them to learners as additional information sources. In doing so, the authors highlight the description logic approach and its knowledge representation strength that underwrites the modulization, inference, and querying about a web ontology language, and enhanced traditional tutoring systems architecture using ontologies and description logic to enable them to access various data sources on the web. Finally, this article concludes that the combination of machine learning with the semantic web has provided a supportive study environment and enhanced the schooling conditions within open and distance learning.
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Published
2021-08-23
How to Cite
Belazoui, A., Telli, A., & Arar, C. (2021). Web-Based Learning Under Tacit Mining of Various Data Sources. International Journal of Emerging Technologies in Learning (iJET), 16(16), pp. 153–168. https://doi.org/10.3991/ijet.v16i16.23405
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