An Intelligent Content Provider Based on Students Learning Style to Increase Their Engagement Level and Performance

Autor/inn/en	Yousaf, Yousra; Shoaib, Muhammad; Hassan, Muhammad Awais; Habiba, Ume
Titel	An Intelligent Content Provider Based on Students Learning Style to Increase Their Engagement Level and Performance
Quelle	In: Interactive Learning Environments, 31 (2023) 5, S.2737-2750 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Yousaf, Yousra) ORCID (Hassan, Muhammad Awais) ORCID (Habiba, Ume)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2021.1900875
Schlagwörter	Intelligent Tutoring Systems; Cognitive Style; Learner Engagement; Academic Achievement; MOOCs; Gamification; Undergraduate Students; Computer Science Education + Suchen Sie Ihr Suchwort? Intelligentes Tutorsystem; Cognitive styles; Kognitiver Stil; Schulleistung; Computer science lessons; Informatikunterricht
Abstract	Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different researchers used adaptive learning techniques to increase students' performance and engagement, but it has not affected too much for reducing the dropout ratio. One of the major problems with these adaptive techniques is to focus on one thing. To target this issue we have proposed the framework that provides adaptive content to each student based on his learning dimensions and knowledge background as per Bloom's Taxonomy. The results of the experiment show a significant increase in students' engagement and performance. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01