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This study aims to explore the evolution and impact of artificial intelligence applications in higher education over the past decade.

Artificial Intelligence in Higher Education (2012–2023): A Bibliometric Analysis of Research Trends and Student Learning Outcomes

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This study aims to explore the evolution and impact of artificial intelligence applications in higher education over the past decade.
Conducted bibliometric analysis of literature from Scopus, Web of Science, and CNKI published between 2012 and 2023.
Employed citation analysis, keyword co-occurrence, and LDA topic modeling for data evaluation.
Utilized visualization tools like VOSviewer and CiteSpace to depict research trends and collaboration patterns.
Documented a continuous increase in publications on AI in higher education from 2012 to 2023.
Identified key themes such as personalized learning, intelligent tutoring systems, and learning analytics.
Highlighted significant contributions from the United States, China, and the United Kingdom, indicating strong international collaboration.

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Bibliometric analysis examines research trends in AI for higher education, suggesting collaborative growth and educational innovation.

Yinfeng et al. (2026) studied this question.

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