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A Bibliometric and Thematic Analysis of Systematic Reviews of Artificial Intelligence in Education

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Advances in Information and Communication Technology (ICTA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 848))

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Abstract

This study presented a bibliometric and thematic analysis of systematic reviews of artificial intelligence (AI) in education, selecting relevant papers using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. The VOSviewer software was utilized to analyze 44 papers in order to identify trends, patterns, and keyword clusters. China and Hong Kong were the most prolific countries publishing review papers between 2019 and 2023. Our result revealed that Computers and Education: Artificial Intelligence is the prominent outlet for research in this field. This study’s eight keyword clusters provided a comprehensive overview of the various aspects and applications of AI in education, including AI education and teaching, AI implementation in health and education fields, conversational AI and language models, education and learning analytics for sustainable development, AI algorithms and intelligent tutoring systems in higher education, emerging technologies in distance and virtual education, and digital health and ethics. Our results can inform policymakers, educators, and researchers about the potential of AI to improve the teaching and learning processes.

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Authors and Affiliations

  1. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Nguyen-The Vinh, Trung-Nghia Phung & Do-Dinh Cuong

Authors
  1. Nguyen-The Vinh
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  2. Trung-Nghia Phung
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  3. Do-Dinh Cuong
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Corresponding author

Correspondence to Nguyen-The Vinh .

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Editors and Affiliations

  1. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Phung Trung Nghia

  2. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Vu Duc Thai

  3. VNU University of Engineering and Technology, Vietnam National University, Ha Noi, Vietnam

    Nguyen Thanh Thuy

  4. Information Technology Institute, Vietnam National University, Ha Noi, Vietnam

    Le Hoang Son

  5. Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Van-Nam Huynh

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Vinh, NT., Phung, TN., Cuong, DD. (2024). A Bibliometric and Thematic Analysis of Systematic Reviews of Artificial Intelligence in Education. In: Nghia, P.T., Thai, V.D., Thuy, N.T., Son, L.H., Huynh, VN. (eds) Advances in Information and Communication Technology. ICTA 2023. Lecture Notes in Networks and Systems, vol 848. Springer, Cham. https://doi.org/10.1007/978-3-031-50818-9_37

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