A Bibliometric Analysis of Artificial Intelligence Applications in Global Higher Education

Artificial Intelligence (AI) in education has rapidly increased during and after the pandemic, necessitating an understanding of development trends for technological innovations and implementation in higher education. This bibliometric analysis of the Web of Science Core Collection database revealed that China, the US, and England led in research productivity. The collaboration networks among countries, institutions, and authors emphasized the need for enhanced international and regional partnerships. Sustainability was identified as the most influential journal in the field. Cluster content analysis explored AI's impact, pinpointing research hotspots in global higher education. Future directions include AI-VR integration, sentiment analysis for educational improvement, predictive student performance models, and enhancing academic integrity. This study offers critical insights for guiding AI applications in higher education, benefitting researchers and practitioners.