A Bibliometric Analysis of AI in Higher Education: Current Status and Development

Vijender Pal Saini, Poonam

Abstract: The usage of artificial intelligence has drawn great attention in education and learning. This study examines the association between AI and higher education by analyzing metadata from 1,394 Scopus-indexed papers (2019-2025) using the string ("AI" OR "Artificial Intelligence" AND "Higher Education?). The study identifies major publication sources, trends, and volumes by conducting citation, co-citation, and keyword co-occurrence studies using VOSviewer software. This analysis focuses on the most influential journals, organizations, nations, keywords, international collaborations, and publications in this subject. The 'Education and Information Technologies Journal' has the highest growth rate, with 66 publications. The author 'TAN S' has published the most documents (12), 'The School of Engineering and Sciences University' has the most contributions in this field with 42 publications. 'The United States' has the most publications (565) and total citations (1879). The VOSviewer program visualizes mapping based on co-citation, bibliographic coupling (BC), and co-occurrence (CO). The study's main constraint is its reliance on Scopus data. Linking and analyzing this data can help track the evolution of the topic. This study offers useful understandings for researchers and academics for promoting the development of approaches to enhance the efficient use of AI in higher education and establishing a research agenda for further exploration in this critical area.

Keywords: AI, Artificial Intelligence, Higher Education, Bibliometric Analysis