Artificial Intelligence in University Education: Bibliometric Review in Scopus and Web of Science
DOI:
https://doi.org/10.15359/ree.28-S.18489Keywords:
scientific production, artificial intelligence, scientific publication, Scopus, Web of Science, AI, SDG 4, Quality education, education technology, SDG 9, Industry, innovation and infraestructure, innovation researchAbstract
Introduction. Artificial intelligence (AI) today plays an important role in university education; in that sense, the objective of this research is to analyze the scientific production on AI in university education under a bibliometric review in Scopus and Web of Science (WoS). Method. A bibliometric analysis was carried out, where 895 documents published in journals indexed in the Scopus and WoS databases were analyzed. The terms ‘artificial intelligence’, ‘computational intelligence’, ‘AI’, ‘university education’ and ‘university’ were applied as terms, and the Boolean operators AND and OR were used for both databases. Results. We found 848 documents in Scopus and 48 in WoS. China is the country with the highest scientific production. Brain-Broad Research in Artificial Intelligence, Neuroscience, and Education Science are the journals with the highest number of publications in WoS, while in Scopus they are Journal of Physics Conference and Advances in Intelligent Systems and Computing. Regarding the thematic area, it was found that the highest production corresponds to computer science. In terms of affiliation, the authors belong to institutions in China, and the article with the highest number of citations is “Neuropsychological Bases of Self-Improvement of Own Physical Health of Future Teachers in the Course of University Education”. Conclusions. It is necessary to continue research on AI and its implications in university education due to its relevance in the teaching-learning processes and the interdisciplinary innovation that provides tools to reinforce knowledge.
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