Hybrid Filtering Recommendation System in an Educational Context: Experiment in Higher Education in Morocco

Autor/in	Baidada, Mohammed
Titel	Hybrid Filtering Recommendation System in an Educational Context: Experiment in Higher Education in Morocco
Quelle	In: International Journal of Web-Based Learning and Teaching Technologies, 17 (2022) 1, Artikel 73 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Baidada, Mohammed)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1548-1093
Schlagwörter	Foreign Countries; Higher Education; Automation; Online Systems; Electronic Learning; Individualized Instruction; Educational Technology; Mathematics; Morocco + Suchen Sie Ihr Suchwort? Ausland; Hochschulbildung; Hochschulsystem; Hochschulwesen; Online; Individualisierender Unterricht; Unterrichtsmedien; Mathematik; Marokko
Abstract	In education, the needs of learners are different in the majority of the time, as each has specificities in terms of preferences, performance and goals. Recommendation systems have proven to be an effective way to ensure this learning personalization. Already used and tested in other areas such as e-commerce, their adaptation to the educational context has led to several research studies that have tried to find the best approaches with the best expected results. This article suggests that a hybridization of recommendation systems filtering methods can improve the quality of recommendations. An experiment was conducted to test an approach that combines content-based filtering and collaborative filtering. The results proved to be convincing. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01