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Artificial Intelligence and Competency-Based Education: A Bibliometric Analysis

Author

Listed:
  • Catalina Radu

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Carmen Nadia Ciocoiu

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Cristina Veith

    (University of Bucharest, Bucharest, Romania)

  • Razvan Catalin Dobrea

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

n the context of the educational transition toward a competency-based approach, this study aimed to identify trends, challenges, and emerging opportunities generated by the intersection of Artificial Intelligence (AI) and Competency-Based Education (CBE). The research was carried out using a bibliometric analysis of 1,028 articles included in the Web of Science database and based on reports provided by the biblioshiny application, the graphical interface of the bibliometrix R package. The results included a quantitative analysis of scientific production, collaborations, and cocitations, as well as the evolution and thematic map of the field. These revealed an annual increase of 8.43% in publications with acceleration after 2017 and global involvement, with the United States and China in leading positions. Thematic analyses have shown the field's evolution from technological foundations to an interdisciplinary approach, highlighting the influences of global events, such as COVID-19. The research confirmed the profound interaction between AI and CBE, demonstrating its potential, complexity, and the need for collaborative and interdisciplinary approaches. The bibliometric analysis performed can serve as a guide for future research directions and for identifying strategic directions in the implementation of AI in education.

Suggested Citation

  • Catalina Radu & Carmen Nadia Ciocoiu & Cristina Veith & Razvan Catalin Dobrea, 2024. "Artificial Intelligence and Competency-Based Education: A Bibliometric Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 220-220, February.
    • Handle: RePEc:aes:amfeco:v:26:y:2024:i:65:p:220
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    References listed on IDEAS

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    1. David Mhlanga, 2021. "Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Fosso Wamba, Samuel & Bawack, Ransome Epie & Guthrie, Cameron & Queiroz, Maciel M. & Carillo, Kevin Daniel André, 2021. "Are we preparing for a good AI society? A bibliometric review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
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    Cited by:

    1. Valeriu Brabete & Mirela Sichigea & Daniel Cîrciumaru & Daniel Goagără, 2024. "Bibliometric Mapping of the Relationships Between Accounting, Professional Accountants, and Sustainability Issues," Sustainability, MDPI, vol. 16(21), pages 1-34, October.

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    More about this item

    Keywords

    artificial intelligence (AI); competency-based education (CBE); bibliometric analysis; thematic map; Web of Science (WoS).;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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