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Authors: Alana Neo 1 ; José Antão Beltrão Moura 1 ; Joseana Macêdo Fechine Régis de Araújo 1 ; Giseldo da Silva Neo 2 and Olival Freitas Júnior 3

Affiliations: 1 Center for Electrical and Computer Engineering, Federal University of Campina Grande, Campina Grande, Brazil ; 2 Campus Viçosa, Federal Institute of Alagoas, Viçosa, Brazil ; 3 Institute of Computing, Federal University of Alagoas, Maceió, Brazil

Keyword(s): Online Education, Self-Regulated Learning, Virtual Learning Environment.

Abstract: Self-regulated learning is defined as the degree to which students are metacognitive, motivationally, and behaviorally active participants in their learning. Learning can be influenced and improved to achieve successful academic results. This article reviews the literature to analyze and compare learning self-regulation strategies to recommend learning objects in the context of a Virtual Learning Environment. The results serve to map the state of the art, main approaches, and characterizations of the topic of recommendation systems that use self-regulated learning strategies to support students’ academic performance; and to identify promising opportunities for future research on the topic.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Neo, A.; Antão Beltrão Moura, J.; Macêdo Fechine Régis de Araújo, J.; da Silva Neo, G. and Freitas Júnior, O. (2024). The Use of Self-Regulation of Learning in Recommender Systems: State-of-the-Art and Research Opportunities. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-697-2; ISSN 2184-5026, SciTePress, pages 525-532. DOI: 10.5220/0012619400003693

@conference{csedu24,
author={Alana Neo. and José {Antão Beltrão Moura}. and Joseana {Macêdo Fechine Régis de Araújo}. and Giseldo {da Silva Neo}. and Olival {Freitas Júnior}.},
title={The Use of Self-Regulation of Learning in Recommender Systems: State-of-the-Art and Research Opportunities},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2024},
pages={525-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012619400003693},
isbn={978-989-758-697-2},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - The Use of Self-Regulation of Learning in Recommender Systems: State-of-the-Art and Research Opportunities
SN - 978-989-758-697-2
IS - 2184-5026
AU - Neo, A.
AU - Antão Beltrão Moura, J.
AU - Macêdo Fechine Régis de Araújo, J.
AU - da Silva Neo, G.
AU - Freitas Júnior, O.
PY - 2024
SP - 525
EP - 532
DO - 10.5220/0012619400003693
PB - SciTePress

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