Knowledge Structure and Trends of Generative AI in Higher Education: A Bibliometric Analysis (2022–2025)
Year: 2026
Type: article
Study design: Systematic Review
Abstract: The rapid rise of generative artificial intelligence (GAI) has transformed education, but it also presents obstacles. The integration of GAI into higher education needs further discussion. This review covers GAI in higher education over the past four years. This bibliometric analysis utilized PRISMA to summarise GAI-related higher education studies. The Scopus database was chosen for its vast coverage and reputation for analyzing scholarly papers. Papers with "generative AI" and "higher education" in the title, abstract, or keywords were thoroughly reviewed. A thorough keyword search yielded 1,970 database publications. Inclusion and exclusion criteria limited the findings to 1,334 relevant papers. Since 2022, higher education has published more papers on generative AI, indicating a strong research concentration. This trajectory has grown from its inception to a tremendous leap forward in 2023, reaching a maturity that will create substantial obstacles. The important publications and contributing organizations have a global impact. This study examines the most productive authors and keywords in generative AI research, highlighting its multidisciplinary nature. The high number of publications, diverse authors, and multiple keywords show that research in this area is collaborative and diverse. This study suggests more research on generative AI in higher education and future trends. It also suggests increasing knowledge and developing defined methodological and reference frameworks to reduce the use of generative AI in higher education.
Institution: Sadat Academy for Management Sciences
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W7204158352