Online Journal of Communication and Media Technologies, 2024, 14(2), e202419 e-ISSN: 1986-3497 Copyright © 2024 by authors; licensee OJCMT by Bastas, CY. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). OPEN ACCESS Bibliometric review on teaching methods with artificial intelligence in education Raúl Alberto Garcia Castro 1* 0000-0003-1875-6917 Gilber Chura-Quispe 2 0000-0002-3467-2695 Jehovanni Fabricio Velarde Molina 2 0000-0002-4382-1736 Luis Alberto Espinoza Ramos 1 0000-0002-3984-4724 Catherine Alessandra Almonte Durand 3 0000-0002-7110-8620 1 Universidad Nacional Jorge Basadre Grohmann, Tacna, PERU 2 Escuela de Posgrado Newman, Tacna, PERU 3 Universidad Privada de Tacna, Tacna, PERU * Corresponding author: rgarciac@unjbg.edu.pe Citation: Garcia Castro, R. A., Chura-Quispe, G., Velarde Molina, J. F., Espinoza Ramos, L. A., & Almonte Durand, C. A. (2024). Bibliometric review on teaching methods with artificial intelligence in education. Online Journal of Communication and Media Technologies, 14(2), e202419. https://doi.org/10.30935/ojcmt/14367 ARTICLE INFO ABSTRACT Received: 22 Dec 2023 Accepted: 4 Mar 2024 The purpose of this article is to carry out an analysis of the disclosures made on teaching methods applying artificial intelligence in the Scopus database. The bibliometric review method was used to analyze 349 scientific articles dating from 1978 to 2023. The analysis was carried out using Bibliometrix and VOSviewer software, and the results show that from 2021 onwards there will be a notable increase in publications, with Mobile Information Systems being the journal with the highest production. Among 65 countries identified, China is the country with the highest production and the most productive organization was the Ministry of Education of the People’s Republic of China. No single author stands out for his or her highest scientific output, given that the maximum number of articles published per author is two. However, among the most cited authors is Alimisis, D. and the most co-cited author is Wang, Y. In terms of co- authorship, there is little contribution between authors, while collaboration between countries, China together with Hong Kong, Japan, Malaysia, Mexico, South Korea, Taiwan, Thailand form the most collaborative conglomerate. Cooperation between institutions, the division of computer engineering and the National University of Singapore, show the strongest collaboration. The strongest keywords are “artificial intelligence”, followed by “teaching methods” and “machine learning” and the topics that will be trending from 2021 onwards are “machine learning”, “ChatGPT”, “deep learning”. Keywords: teaching methods, artificial intelligence, bibliometrics, Scopus INTRODUCTION Any formal educational process requires a teacher to plan and carry out the task of teaching through various strategies that facilitate the learning experience. We call this task teaching methods, which consists of organizing a sequence of actions, activities or operations that the teacher carries out to direct a learning session and achieve educational objectives (Abdel & Bastami; 2012; Al-Ghasab, 2022; Nérici, 1985). The Review Article