TENDENCIAS DE IA EN EDUCACIÓN: UN ANÁLISIS BIBLIOMÉTRICO DE CONTEXTOS EMERGENTES
DOI:
https://doi.org/10.66104/2shjj202Palabras clave:
Inteligencia artificial, Educación, Tecnologías emergentes, Soluciones escalables, Desigualdades educativasResumen
La inteligencia artificial (IA) se perfila como una fuerza transformadora en la educación, impulsando el aprendizaje personalizado y mitigando las desigualdades educativas. Este estudio busca analizar, mediante un enfoque bibliométrico, las principales tendencias en la aplicación de la IA en educación, centrándose en contextos emergentes con infraestructura limitada, identificando avances, desafíos y oportunidades. La metodología empleada fue una investigación bibliográfica, caracterizada por una revisión sistemática de la literatura. Los datos se recopilaron de las bases de datos Scopus y Web of Science (WoS), abarcando el período de 2014 a 2024. Tras la selección y aplicación de criterios de inclusión y exclusión, se seleccionaron 634 documentos. La gestión de referencias se realizó con Zotero, y la organización y limpieza de datos se realizó en la plataforma Rayyan. El análisis bibliométrico se realizó con el paquete Bibliometrix en el software RStudio, y se utilizó VOSviewer para el mapeo científico y el análisis de redes de coautoría y coocurrencia. Los resultados revelaron un crecimiento en la producción científica sobre IA en educación desde 2019, intensificado por la pandemia de COVID-19. China, Estados Unidos e India se destacaron como los países con mayor producción científica e impacto académico en este campo. A pesar de estos avances, el estudio destacó desafíos como las barreras infraestructurales, el sesgo algorítmico, la falta de formación docente y los riesgos éticos asociados a la recopilación y el uso de datos sensibles. El estudio concluye que el uso ético, equitativo y contextualizado de la IA en la educación requiere políticas públicas comprometidas con la inclusión digital, la formación docente continua y la inversión en tecnologías accesibles que se ajusten a las realidades locales.
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ADIGUZEL, T.; KAYA, M. H.; CANSU, F. K. Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, v. 15, n. 3, p. ep429, 1 jul. 2023. DOI: https://doi.org/10.30935/cedtech/13152
AFZAL, A. et al. Addressing the Digital Divide: Access and Use of Technology in Education. Journal of Social Sciences Review, v. 3, n. 2, p. 883–895, 30 jun. 2023. DOI: https://doi.org/10.54183/jssr.v3i2.326
BHUTORIA, A. Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education: Artificial Intelligence, v. 3, p. 100068, 2022. DOI: https://doi.org/10.1016/j.caeai.2022.100068
BISEN, I. E. et al. Artificial Intelligence and Machine Learning in Higher Education. Em: [s.l: s.n.]. p. 1–17. DOI: https://doi.org/10.4018/978-1-7998-5009-0.ch001
BOSSE, I. K.; NUSSBAUMER, D.; HÖVEL, D. C. The role of ICT as LT in shaping inclusive and special education – a systematic review for 2012–2023. Journal of Enabling Technologies, v. 18, n. 2/3, p. 134–168, 15 out. 2024. DOI: https://doi.org/10.1108/JET-09-2023-0036
BRIAN, W.; LABAN, O.; OWIN, O. An AI-Driven Approach to Mitigate the Digital Divide in Educational Resources. International Research Journal of Modernization in Engineering Technology and Science, 22 jun. 2024.
CONCANNON, F. et al. Editorial: There’s an AI for that. Irish Journal of Technology Enhanced Learning, v. 7, n. 1, 15 ago. 2023.
CUEVA, H. L. M. et al. Utilizing Emerging Technology Trends and Artificial Intelligence in Higher Education. Journal of Higher Education Theory & Practice, v. 24, n. 3, 2024. DOI: https://doi.org/10.33423/jhetp.v24i3.6847
DANG, T. L. P.; SADREDDIN, A.; AHUJA, S. Readily available technologies in low-resource communities: a review and synthesis. Information Technology for Development, v. 30, n. 1, p. 132–172, 2 jan. 2024. DOI: https://doi.org/10.1080/02681102.2023.2288843
DONTHU, N. et al. How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, v. 133, p. 285–296, set. 2021. DOI: https://doi.org/10.1016/j.jbusres.2021.04.070
ECK, N. J. VAN; WALTMAN, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, v. 84, n. 2, p. 523–538, 31 ago. 2010. DOI: https://doi.org/10.1007/s11192-009-0146-3
ESTEVES, P. C. L. et al. Políticas públicas para o desenvolvimento de inteligência artificial no BrasilAnais do Congresso Internacional de Conhecimento e Inovação–ciki. Anais...2023.
FACER, K.; SELWYN, N. Digital technology and the futures of education: Towards ‘Non-Stupid’optimism. Futures of Education initiative, UNESCO, 2021.
FAIZ, A. Bibliometric analysis of computer science literature of Pakistan. GSJ, v. 8, n. 2, 2020.
FEIJÓO, C. et al. Educational technologies in China. Pre-and post-pandemic lessons (No. JRC124648). Jt Res Centre (Seville site), 2021.
FERRI, F.; GRIFONI, P.; GUZZO, T. Online learning and emergency remote teaching: Opportunities and challenges in emergency situations. Societies, v. 10, n. 4, p. 86, 2020. DOI: https://doi.org/10.3390/soc10040086
GAWANDE, V.; BADI, H. AL; MAKHAROUMI, K. AL. An Empirical Study on Emerging Trends in Artificial Intelligence and its Impact on Higher Education. International Journal of Computer Applications, v. 175, n. 12, p. 43–47, 17 ago. 2020. DOI: https://doi.org/10.5120/ijca2020920642
GAZARIAN, A. P. G. Cultura disciplinar e autocitação: publicação científica em periódicos de alto impacto nas subáreas de linguística e química. [s.l.] Universidade Estadual Paulista (UNESP), 2023.
GROENNER, L. C. A inteligência artificial no campo ciência, tecnologia e sociedade: um estudo comparativo entre indicadores da produção científica. [s.l.] Universidade Federal de São Carlos, 2024. DOI: https://doi.org/10.5433/1981-8920.2025v30n1p55
HASSLER, B.; JACKSON, A. M. Bridging the Bandwidth Gap: Open Educational Resources and the Digital Divide. IEEE Transactions on Learning Technologies, v. 3, n. 2, p. 110–115, abr. 2010. DOI: https://doi.org/10.1109/TLT.2010.8
HOLMES, W.; BIALIK, M.; FADEL, C. Artificial Intelligence in Education Promises and Implications for Teaching and Learning. 1. ed. MA, USA.: Center for Curriculum Redesign, 2019.
HUANG, X. et al. Serving national resource strategy and striving for world class in Geology: China University of Geosciences (Beijing) education opening to the outside world in new era. Journal of Educational Research and Reviews, v. 11, n. 2, p. 19–24, 21 fev. 2023. DOI: https://doi.org/10.33495/jerr_v11i2.22.147
KAMALOV, F.; SANTANDREU CALONGE, D.; GURRIB, I. New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, v. 15, n. 16, p. 12451, 16 ago. 2023. DOI: https://doi.org/10.3390/su151612451
KAVITHA, K.; JOSHITH, V. P. The Transformative Trajectory of Artificial Intelligence in Education: The Two Decades of Bibliometric Retrospect. Journal of Educational Technology Systems, v. 52, n. 3, p. 376–405, 11 mar. 2024. DOI: https://doi.org/10.1177/00472395241231815
KNOX, J. Artificial intelligence and education in China. Learning, Media and Technology, v. 45, n. 3, p. 298–311, 2 jul. 2020. DOI: https://doi.org/10.1080/17439884.2020.1754236
MAFARA, R. M.; ABDULLAHI, S. S. Adopting Artificial Intelligence (AI) in Education: Challenges & Possibilities. Asian Journal of Advanced Research and Reports, v. 18, n. 2, p. 106–111, 27 jan. 2024. DOI: https://doi.org/10.9734/ajarr/2024/v18i2608
MAGEIRA, K. et al. Educational AI Chatbots for Content and Language Integrated Learning. Applied Sciences, v. 12, n. 7, p. 3239, 22 mar. 2022. DOI: https://doi.org/10.3390/app12073239
MCKEOWN, S.; MIR, Z. M. Considerations for conducting systematic reviews: evaluating the performance of different methods for de-duplicating references. Systematic reviews, v. 10, p. 1–8, 2021. DOI: https://doi.org/10.1186/s13643-021-01583-y
MINISTÉRIO DA CIÊNCIA, T. E I. Brasil quer acelerar revolução da inteligência artificial com estratégia do MCTI.
MOLINA, E. et al. A revolução da IA na Educação: O que é preciso saber. Inovações Digitais na Educação. Washington, DC: Banco Mundial, 2024.
MOUSSA, S. A bibliometric investigation of the journals that were repeatedly suppressed from Clarivate’s Journal Citation Reports. Accountability in Research, v. 30, n. 8, p. 592–612, 2023. DOI: https://doi.org/10.1080/08989621.2022.2071154
MUBASHIR MOOSA PANJWANI. Impact of AI in teaching and learning of CS in low-resourced schools. International Journal of Science and Research Archive, v. 12, n. 2, p. 1933–1939, 30 ago. 2024. DOI: https://doi.org/10.30574/ijsra.2024.12.2.1451
MUBIRU, J.; KIBUKAMUSOKE, M.; DRAKE, P. M. Harnessing Ai for Socio-economic Equity in Uganda: Bridging the Digital Divide through Agricultural Innovation. International Journal For Multidisciplinary Research, v. 6, n. 4, 1 ago. 2024. DOI: https://doi.org/10.36948/ijfmr.2024.v06i04.24956
N. B. SULTANGAZINA et al. Artificial intelligence and machine learning. Bulletin of Toraighyrov University. Physics & Mathematics series, n. 3.2021, p. 24–33, 27 set. 2021. DOI: https://doi.org/10.48081/WCCT7602
PAGE, M. J. et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. PLOS Medicine, v. 18, n. 3, p. e1003583, 29 mar. 2021.
PENG, L.; XIAOHONG, S. Predictions for the potential development of artificial intelligence in Chinese education. Proceedings of the 3rd International Conference on Information and Education Innovations. Anais...2018. DOI: https://doi.org/10.1145/3234825.3234839
PIRO, F. N.; SEEBER, M.; WANG, L. Regional and sectoral variations in the ability to attract funding from the European Union’s Seventh Framework Program and Horizon 2020. Scientometrics, v. 129, n. 3, p. 1493–1521, 2024. DOI: https://doi.org/10.1007/s11192-024-04942-3
RACHID, E. The Future of Learning: AI-Based Curriculum Development. International Journal For Multidisciplinary Research, v. 6, n. 4, 10 jul. 2024. DOI: https://doi.org/10.36948/ijfmr.2024.v06i04.24441
REHMAN, N. et al. China’s AI Policy in Higher Education: Opportunities and Challenges. Navigating Barriers to AI Implementation in the Classroom, p. 67–92, 2025. DOI: https://doi.org/10.4018/979-8-3373-1827-1.ch004
RICARDO, P. La IA debe amplificar las capacidades educativas, no sustituirlas: Banco Mundial.
SELWYN, N. Should Robots Replace Teachers?: AI and the Future of Education. 1. ed. [s.l.] John Wiley & Sons, 2019.
SHOUKAT, R. Leveraging Artificial Intelligence in Education. International Policy Digest, 2024.
SRIVASTAVA, S. K. Artificial Intelligence: way forward for India. JISTEM-Journal of Information Systems and Technology Management, v. 15, p. e201815004, 2018. DOI: https://doi.org/10.4301/S1807-1775201815004
VIERHAUSER, M. et al. Towards Integrating Emerging AI Applications in SE Education2024 36th International Conference on Software Engineering Education and Training. Anais...IEEE, 29 jul. 2024. DOI: https://doi.org/10.1109/CSEET62301.2024.10663045
VLIST, F. VAN DER; HELMOND, A.; FERRARI, F. Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence. Big Data & Society, v. 11, n. 1, p. 20539517241232630, 2024. DOI: https://doi.org/10.1177/20539517241232630
VURUMA, S. K. R. et al. From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges. arXiv preprint arXiv:2402.12702, 2024.
WANG, Y. J. et al. Modelling yielding dilemma zone for drivers at non-signalised crosswalks. Transportation Research Part F-Traffic Psychology And Behaviour, v. 102, p. 213–232, 2024. DOI: https://doi.org/10.1016/j.trf.2024.02.018
YERLIKAYA, S.; ERZURUMLU, Y. Ö. Artificial intelligence in public sector: a framework to address opportunities and challenges. The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, p. 201–216, 2021. DOI: https://doi.org/10.1007/978-3-030-62796-6_11
ZAWACKI-RICHTER, O. et al. Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, v. 16, n. 1, p. 39, 28 dez. 2019. DOI: https://doi.org/10.1186/s41239-019-0171-0
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Derechos de autor 2026 Larissa Aquino de Sousa Queiroz, Walmir Fernandes Pereira , Paulo Ricardo de Oliveira Queiroz, Vanessa Elionara Souza Ferreira Oliveira , José Eric da Silva Queiroz , Luiz Paulo de Oliveira Queiroz
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