Artificial Intelligence Applied in Higher Education: A Bibliometric Analysis

Higher education centers focus on knowledge construction and for its management new technological tools are implemented, as is the case of artificial intelligence. The objective of the research is to analyze the scientific production related to the applications of artificial intelligence in higher education. The research paradigm is quantitative, based on a bibliometric study, using a descriptive and retrospective approach. Only review and research articles in open access related to the application of artificial intelligence in higher education in the areas of computer science, engineering and social sciences, without language restriction, during the period 2023 - 2024 in the SCOPUS database were taken into account. A total of 232 research papers were identified, 223 of which were published in 2023, with a predominance of research articles. There were 182 researches in the areas of social sciences as the most representative field with 53% of the total. The most cited journal was the Journal of Applied Learning and Teaching. The country with the highest number of research papers was China with 26 and the University of Monterrey was the most outstanding institution with 10. Seven lines of research associated with seven of the 13 clusters identified were identified.