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Harnessing AI for Peer-to-Peer Learning Support: Insights from a Bibliometric Analysis

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Title: Harnessing AI for Peer-to-Peer Learning Support: Insights from a Bibliometric Analysis
Language: English
Authors: Mark Wilson-Trollip (ORCID 0009-0001-4219-3125)
Source: Perspectives in Education. 2024 42(4):283-304.
Availability: University of the Free State Faculty of Education. P.O. Box 339, Bioemfontein 9300, South Africa. Tel: +27-51-401-2368; e-mail: PiE@ufs.ac.za; Web site: https://journals.ufs.ac.za/index.php/pie/index
Peer Reviewed: Y
Page Count: 22
Publication Date: 2024
Document Type: Journal Articles
Information Analyses
Descriptors: Artificial Intelligence, Peer Teaching, Peer Relationship, Learning Theories, Computer Software, Technology Uses in Education, Social Emotional Learning, Ethics, Research Needs, Information Retrieval, Bibliometrics
DOI: 10.38140/pie.v42i4.8431
ISSN: 0258-2236
2519-593X
Abstract: This study investigates the current use of artificial intelligence (AI) for peer-to-peer support through a bibliometric analysis of 1113 records based on co-words. The research employs a four-phase exploratory design that involves co-word search, data charting, and result summation. It uses an inductive, relevant, and reflexive thematic approach (TA). The theoretical foundation is grounded in retention, attrition, and learning theories, including personal, social, emotional, constructive, and humanistic theories. The analysis aims to determine whether institutions leverage AI for peer-to-peer learning as part of peer support. The findings reveal a significant gap in direct research on AI's role in peer-to-peer support, underscoring the need for future studies on its impact on learning customisation, socio-emotional learning, and ethical issues in education.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1453545
Database: ERIC
FullText Text:
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  Data: Harnessing AI for Peer-to-Peer Learning Support: Insights from a Bibliometric Analysis
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  Data: <searchLink fieldCode="AR" term="%22Mark+Wilson-Trollip%22">Mark Wilson-Trollip</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0001-4219-3125">0009-0001-4219-3125</externalLink>)
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  Data: University of the Free State Faculty of Education. P.O. Box 339, Bioemfontein 9300, South Africa. Tel: +27-51-401-2368; e-mail: PiE@ufs.ac.za; Web site: https://journals.ufs.ac.za/index.php/pie/index
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  Data: This study investigates the current use of artificial intelligence (AI) for peer-to-peer support through a bibliometric analysis of 1113 records based on co-words. The research employs a four-phase exploratory design that involves co-word search, data charting, and result summation. It uses an inductive, relevant, and reflexive thematic approach (TA). The theoretical foundation is grounded in retention, attrition, and learning theories, including personal, social, emotional, constructive, and humanistic theories. The analysis aims to determine whether institutions leverage AI for peer-to-peer learning as part of peer support. The findings reveal a significant gap in direct research on AI's role in peer-to-peer support, underscoring the need for future studies on its impact on learning customisation, socio-emotional learning, and ethical issues in education.
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        StartPage: 283
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      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Peer Teaching
        Type: general
      – SubjectFull: Peer Relationship
        Type: general
      – SubjectFull: Learning Theories
        Type: general
      – SubjectFull: Computer Software
        Type: general
      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Social Emotional Learning
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      – SubjectFull: Ethics
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      – SubjectFull: Research Needs
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      – SubjectFull: Information Retrieval
        Type: general
      – SubjectFull: Bibliometrics
        Type: general
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      – TitleFull: Harnessing AI for Peer-to-Peer Learning Support: Insights from a Bibliometric Analysis
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