Mapping the Future: A Bibliometric Analysis of Engagement Trends in Artificial Intelligence within Higher Education

Digital Technologies Research and Applications

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Mapping the Future: A Bibliometric Analysis of Engagement Trends in Artificial Intelligence within Higher Education

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https://doi.org/10.54963/dtra.v4i3.1285
Ekundayo, T., & Ali Chaudhry, S. (2025). Mapping the Future: A Bibliometric Analysis of Engagement Trends in Artificial Intelligence within Higher Education. Digital Technologies Research and Applications, 4(3), 1–21. https://doi.org/10.54963/dtra.v4i3.1285
Volume 4 Issue 3: December 2025 (In Progress)
Copyright (c) 2025 Tosin Ekundayo, Shahid Ali Chaudhry
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Authors

  • Tosin Ekundayo

    Innovative Entrepreneurship Department, Synergy University, Dubai, United Arab Emirates
  • Shahid Ali Chaudhry

    Information Technology Department, Synergy University, Dubai, United Arab Emirates

Received: 31 March 2025; Revised: 1 September 2025; Accepted: 11 September 2025; Published: 29 September 2025

This study conducts a comprehensive bibliometric analysis to map the landscape and research trends of artificial intelligence (AI) applications within higher education. Utilizing data from the Scopus database, encompassing 4,696 datasets from 1939 to 2024, we employed VOSviewer for visualizing and analyzing co‑authorship networks, citation patterns, and keyword occurrences. The analysis identifies primary research areas, influential authors, and emerging topics, offering valuable insights into the dynamic field of AI in higher education. Key findings include the identification of significant research themes such as AI applications in education, student engagement, and the development of learning systems. Influential contributors were highlighted for their substantial impact on the research landscape. The study also revealed strong collaborative networks, particularly involving key figures, underscoring the importance of co‑authorship in advancing AI research. Strong collaborative networks refer to the co‑authorship and international partnerships that connect these contributors, producing high‑impact research through shared expertise, resources, and cross‑regional knowledge exchange. The findings validate the hypotheses that significant research areas and influential contributors can be identified, and that collaborative networks and emerging technologies play crucial roles in the field’s advancement. Influential contributors are the authors, institutions, or countries whose publications and citation impacts significantly shape the research landscape of AI in higher education, setting key directions for scholarship and practice. This study provides a roadmap for future research, emphasizing the importance of strategic collaborations and innovative technologies in shaping the future of AI in higher education.

Keywords:

Artificial Intelligence Higher Education Bibliometric Analysis VOSviewer Co‑Authorship Networks Citation Analysis Emerging Technologies Geographic Distribution

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