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This is a Literature Review study (also classified as: Systematic Review).

August 22, 2025Open Access

Artificial Intelligence in Higher Education: A Bibliometric Analysis of Trends, Gaps, and Future Directions (1986–2025)

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Artificial intelligence's impact on higher education shows notable growth focused on personalized learning and automated assessments, yet remains fragmented.
The analysis of 1,780 publications highlights a lack of interdisciplinary collaborations, particularly in research themes like ethics and accessibility.
A bibliometric approach utilizing the VOSviewer tool reveals three research phases that indicate emerging trends and established practices.
The findings imply a need for stronger international collaborations to address gaps in research and methodological standardization regarding AI in education.

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Bibliometric analysis details trends and gaps in artificial intelligence applications in higher education, suggesting future directions.

Ahsina et al. (2025) studied this question.

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