TY - JOUR
T1 - Inteligencia artificial en la educación universitaria
T2 - Revisión bibliométrica en Scopus y Web of Science
AU - Tapullima-Mori, Calixto
AU - Mamani-Benito, Oscar
AU - Turpo-Chaparro, Josué Edison
AU - Olivas-Ugarte, Lincol Orlando
AU - Carranza-Esteban, Renzo Felipe
N1 - Publisher Copyright:
© 2024 Universidad Nacional. All rights reserved.
PY - 2024/9
Y1 - 2024/9
N2 - 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 articlewiththehighestnumberofcitationsis“NeuropsychologicalBasesofSelf-Improvement ofOwnPhysicalHealthofFutureTeachersintheCourseofUniversityEducation”.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.
AB - 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 articlewiththehighestnumberofcitationsis“NeuropsychologicalBasesofSelf-Improvement ofOwnPhysicalHealthofFutureTeachersintheCourseofUniversityEducation”.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.
KW - AI
KW - artificial intelligence
KW - Scientific production
KW - scientific publication
KW - Scopus
KW - Web of Science
UR - http://www.scopus.com/inward/record.url?scp=85215379702&partnerID=8YFLogxK
U2 - 10.15359/ree.28-S.18489
DO - 10.15359/ree.28-S.18489
M3 - Artículo
AN - SCOPUS:85215379702
SN - 1409-4258
VL - 28
JO - Revista Electronica Educare
JF - Revista Electronica Educare
ER -