Análisis de la aplicación de la inteligencia artificial en la educación superior. Una revisión sistemática

Autores/as

DOI:

https://doi.org/10.26820/recimundo/9.(1).enero.2025.29-37

Palabras clave:

Inteligencia artificial, Educación superior, Metodología PRISMA, Transformación digital

Resumen

El objetivo general de este estudio fue analizar las características, ventajas, desventajas y desafíos asociados con la implementación de la inteligencia artificial (IA) en la educación superior en el Ecuador. Se utilizó la metodología PRISMA para llevar a cabo una revisión sistemática de artículos académicos publicados en la base de datos Web of Science y Scopus. Se seleccionaron 32 estudios de acceso abierto que incluían palabras clave relacionadas con IA y educación superior, todos vinculados a instituciones universitarias. Los resultados mostraron que la integración de la IA ha mejorado significativamente los resultados educativos, optimizado la toma de decisiones y fortalecido los sistemas institucionales. Sin embargo, se identificaron barreras importantes como la falta de habilidades tecnológicas, infraestructura insuficiente, resistencia a abandonar métodos tradicionales y la complejidad del idioma árabe en el contexto educativo. Como conclusión, aunque las aplicaciones de IA presentan un gran potencial para transformar la educación superior en la región, su adopción plena requiere superar desafíos estructurales, tecnológicos y culturales. Se proponen futuras líneas de investigación para profundizar en soluciones que impulsen su implementación efectiva.

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Biografía del autor/a

Manuel Augusto Cevallos Gamboa, Universidad de Guayaquil

Magíster en Sistemas de Información Mención en Inteligencia de Negocios; Ingeniero en Telecomunicaciones con Mención en Gestión Empresarial en Telecomunicaciones; Universidad de Guayaquil; Guayaquil, Ecuador

Michael Antonio Tomalá De La Cruz, Universidad de Guayaquil

Magíster en Seguridad Informática Aplicada; Magíster en Educación; Ingeniero en Sistemas; Universidad de Guayaquil; Guayaquil, Ecuador

Elsa Verónica Aroni Caicedo, Universidad de Guayaquil

Magíster en Mediación Familiar Laboral y Organizacional; Psicóloga Clínica; Universidad de Guayaquil; Guayaquil, Ecuador

Morayma Eugenia Manzo Nazate , Universidad de Guayaquil

Magíster en Derecho Procesal; Abogada de Los Tribunales y Juzgados de La República del Ecuador; Universidad de Guayaquil; Guayaquil, Ecuador

Citas

Agrawal, A., Arora, R., Arora, R., & Agrawal, P. (2021). Applications of artificial intelligence and internet of things for detection and future directions to fight against COVID-19. In Studies in systems, decision and control, 107–119. https://doi.org/10.1007/978-3-030-60039-65

Alade, A., & Afuwape, M. (2024). Artificial Intelligence (AI) in Higher Education: A Threat or Helping Hand in Improving Student-Instructor Communication. International Journal of Communication and Public Relation, 9(4), 45–61. https://doi.org/10.47604/ijcpr.2987

Assefa, D. E. A. (2024). The Double-Edged Sword of Artificial Intelligence (AI) in Education: Maximizing benefits while mitigating risks. The Journal of Quality in Education, 14(24), 154–176. https://doi.org/10.37870/joqie.v14i24.450

Batista, J., Mesquita, A., & Carnaz, G. (2024). Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review. Information, 15(11), 676. https://doi.org/10.3390/info15110676

Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00392-8

Butler, K. T., Davies, D., Cartwright, H., Isayev, O., & Walsh, A. (2018). Machine learning for molecular and materials science. Nature (London), 559 (7715), 547–555. https://doi.org/10.1038/s41586-018-0337-2

Castillo-Martínez IM, Flores-Bueno D, Gómez-Puente SM and Vite-León VO (2024) AI in higher education: a systematic literature review. Frontiers. Education. 9. doi: 10.3389/feduc.2024.1391485

Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: a narrative overview. Procedia ComputerScience, 136, 16–24.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/access.2020.2988510

Cotton, D. R.E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148

Cui. P, & Bity, Salwana, Alias. (2024). Opportunities and challenges in higher education arising from AI: A systematic literature review (2020–2024). Journal of infrastructure, policy and development, 28(11). https://systems.enpress-publisher.com/index.php/jipd/article/view/8390

Domingues, I. (2021). A holistic approach to higher education plagiarism: agency and analysis levels. Higher Education Research & Development, 41(6), 1869–1884. https://doi.org/10.1080/07294360.2021.1969540

Dong, W. (2022). Artificial Intelligence for Web-based Educational Systems. Advances in Intelligent Systems and Technologies, 55–65. https://doi.org/10.53759/aist/978-9914-9946

Fahd, K., Venkatraman, S., Miah, S. J., & Ahmed, K. (2021). Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: A meta-analysis ofliterature. Education and Information Technologies, 27(3), 3743–3775. https://doi.org/10.1007/s10639-021-10741-7

Foltýnek, T., Meuschke, N., & Gipp, B. (2019). Academic Plagiarism Detection. ACM Computing Surveys, 52(6), 1–42. https://doi.org/10.1145/3345317

Fu, X. (2019). Application of Artificial Intelligence Technology in Medical Cell Biology. 2019 International Conference on Robots & IntelligentSystem (ICRIS). https://doi.org/10.1109/icris.2019.00106

Gaševi?, D., Siemens, G., & Sadiq, S. (2023). Empowering learners for the age of artificial intelligence. Computers and Education: Artificial Intelligence, 4, 100130. https://doi.org/10.1016/j.caeai.2023.100130

Gasparyan, A. Y., Nurmashev, B., Seksenbayev, B., Trukhachev, V. I., Kostyukova, E. I., & Kitas, G. D. (2017). Plagiarism inthe Context of Education and Evolving Detection Strategies. Journal of Korean Medical Science, 32(8), 1220. https://doi.org/10.3346/jkms.2017.32.8.1220

Han, R., Yoon, H., Kim, H., Lee, H., & Lee, Y. (2023). Revolutionizing Medicinal Chemistry: The application of Artificial intelligence (AI) in early drug discovery. Pharmaceuticals (Basel), 16(9), 1259. https://doi.org/10.3390/ph16091259

Igbokwe, I. C. (2023). Application of Artificial Intelligence (AI) in Educational Management. International Journal of Scientific and Research Publications, 13(3). https://doi.org/10.29322/ijsrp.13.03.2023.p13536

Li, & Wang. Research on the Application of Artificial Intelligence in Education. (2020). IEEE Conference Publication |IEEE Xplore. https://ieeexplore.ieee.org/document/9201743. https://doi.org/10.1109/ICCSE49874.2020.9201743

Marcus, G., & Davis, E. (2019). Rebooting AI: Building artificial intelligence we can trust.

Page, M.J., McKenzie, J.E., Bossuyt, P.M.et al.The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.Syst Rev10, 89 (2021). https://doi.org/10.1186/s13643-021-01626-4

Pema, Wangdi. (2024). Integrating Artificial Intelligence in Education. International Journal on Research in STEM Education 6(2):50-60. https://www.researchgate.net/publication/385983705_Integrating_Artificial_Intelligence_in_Education_Trends_and_Opportunities

Peredo, R., Canales, A., Menchaca, A., & Peredo, I. (2011). Intelligent Web-based education system for adaptive learning. Expert Systems With Applications, 38(12), 14690–14702

Sharma, P. Kawachi, and A Bozkurt (2019) The landscape of artificial intelligence in open, online and distance education: Promises and concerns, Asian J. Distance Educ., 14 (2):1–2

Slimi, Z. (2023). The Impact of Artificial Intelligence on Higher Education: An Empirical Study. European Journal of Educational Sciences, 10(1). https://doi.org/10.19044/ejes.v10no1a24

Sustainable Development Goal Quality Education | the United Nations in the Caribbean. https://caribbean.un.org/en/sdgs/4

Sutton, H. (2019). Minimize online cheating through proctoring, consequences. Dean and Provost, 20(6), 1–4. https://doi.org/10.1002/dap.30546

Tan, S. C., Lee, A. V. Y., & Lee, M. (2022). A systematic review of artificial intelligence techniques for collaborative learning over the past two decades. Computers and Education: Artificial Intelligence, 3, 100097. https://doi.org/10.1016/j.caeai.2022.100097

Vintage. Ouyang, F., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011–2020. Education and Information Technologies, 27, 7893–7925. https://doi.org/10.1007/ s10639-022-10925-9

Willis, V. (2024). The Role of Artificial Intelligence (AI) in Personalizing Online Learning. Journal of Online and Distance Learning, 3(1), 1–13. https://doi.org/10.47941/jodl.1689

Xu, W., & Ouyang, F. (2021). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 27(3), 4195–4223. https://doi.org/10.1007/s10639-021-10774-y

Zawacki?Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education –where are the educators? International Journal of Educational Technology in Higher Education, 16(1). https://doi.org/10.1186/s41239-019-0171-

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Publicado

2025-01-05

Cómo citar

Cevallos Gamboa, M. A. ., Tomalá De La Cruz, M. A. ., Aroni Caicedo, E. V. ., & Manzo Nazate , M. E. . (2025). Análisis de la aplicación de la inteligencia artificial en la educación superior. Una revisión sistemática. RECIMUNDO, 9(1), 29–37. https://doi.org/10.26820/recimundo/9.(1).enero.2025.29-37

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