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In modern perspective, the phenomenon of artificial intelligence (AI) has witnessed considerable advancements, extending its influence across various sectors, with higher education emerging as one of the most significant areas of impact. Researchers who have found the revolutionary potential and essential contributions of AI in boosting educational practices and approaches have extensively emphasized this trend. (George George & Paul, 2020). The higher education domain is progressively acknowledging AI as a key factor for competitive edge (Hannan & Liu, 2021). This paper aims to examine the existing research on AI implications in the higher education segment. Grounded on the theory of technology diffusion (Rogers, 2003), our research systematically examines the scientific field, identifying emerging research topics. Using SCOPUS as a database for peer-reviewed article selection (publication period 2011–2024) and bibliometric analysis, we provide an insight into the varied geographic spread of research within the realm of AI in education. Our findings shed light on the evolution of models for the adoption of AI technologies in higher education, revealing six main areas of research in the field: (1) teaching and involving students in the educational process using generative AI, (2) using chatbots to improve the educational process, (3) improving the literacy of teachers and students in the field of AI, (4) AI and blockchain in educational practices (5) development of regulations for the use of AI and (6) improving operational processes at universities. This article explains current influences on research prospects in the context of higher education. By offering an understanding of the challenges and opportunities presented by AI, this paper encourages educators to investigate possible uses of AI in the context of higher education.
Gordienko et al. (Tue,) studied this question.