Authors:
Abeer A. Amer, Waleed Hamad A. Abdalrahman

Addresses:
Department of Computer and Information Systems, Faculty of Management Science, Sadat Academy for Management Science, Alexandria, Alexandria Governorate, Egypt. Department of Information Systems and Computers, Faculty of Business, Alexandria University, Alexandria, Alexandria Governorate, Egypt. Department of Management Information Systems, Faculty of Economics and Commercial Studies, University of Kordofan, El Obeid, North Kordofan, Sudan.

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.

Keywords: Generative Artificial Intelligence (GAI); Higher Education; Bibliometric Analysis; PRISMA Framework; Scopus Database; Future Trends; Rapid Emergence.

Received on: 14/01/2025, Revised on: 15/03/2025, Accepted on: 24/05/2025, Published on: 05/06/2026

DOI: 10.69888/FTSTL.2026.000744

FMDB Transactions on Sustainable Techno Learning, 2026 Vol. 4 No. 2, Pages: 44-56

• Views : 45
• Downloads : 7

Download PDF