La inteligencia artificial generativa como recurso didáctico en la educación superior. Una revisión sistemática
DOI:
https://doi.org/10.26820/recimundo/9.(2).abril.2025.247-261Palabras clave:
Inteligencia artificial generativa, Educación superior, Recurso didáctico, Revisión sistemática, Metodología PRISMAResumen
La creciente integración de la Inteligencia Artificial Generativa (IAG) presenta oportunidades y desafíos en la educación superior. El propósito de esta revisión sistemática fue analizar la evidencia existente sobre el uso de la IAG como recurso didáctico en este nivel educativo, identificando sus aplicaciones, beneficios y limitaciones. Se realizó una revisión sistemática siguiendo la metodología PRISMA. Se efectuaron búsquedas exhaustivas en bases de datos académicas relevantes utilizando términos clave relacionados con la IAG y la educación superior. Los criterios de inclusión y exclusión se definieron para seleccionar estudios empíricos que abordaran directamente el uso de la IAG en contextos de aprendizaje universitario. El análisis de los estudios seleccionados reveló diversas aplicaciones de la IAG como la generación de contenido de aprendizaje personalizado, la creación de herramientas de evaluación innovadoras, el apoyo en la tutoría y la facilitación de la creatividad y la colaboración. Los resultados también destacaron beneficios como el aumento del compromiso estudiantil y la mejora de la eficiencia pedagógica, aunque se identificaron desafíos relacionados con la validez del contenido generado, la equidad en el acceso y las consideraciones éticas. Esta revisión sistemática concluye que la IAG tiene un potencial significativo como recurso didáctico en la educación superior, ofreciendo nuevas vías para la innovación pedagógica. Sin embargo, es crucial abordar cuidadosamente los desafíos identificados para garantizar una implementación efectiva y responsable. La investigación futura debería centrarse en explorar el impacto a largo plazo de la IAG en los resultados del aprendizaje y en desarrollar directrices para su uso ético y pedagógicamente sólido. Contribución al Conocimiento: Esta investigación proporciona una síntesis exhaustiva del estado actual del conocimiento sobre la aplicación de la IAG en la educación superior. Al identificar las tendencias, los beneficios y los desafíos clave, este estudio contribuye a fundamentar futuras investigaciones y a informar la toma de decisiones de los educadores y los responsables de la formulación de políticas en este campo emergente.Descargas
Citas
Abrami, P. C., Borokhovski, E., Wade, C. A., & Taminiau, N. (2023). Artificial intelligence in higher education: Promises and pitfalls. Educational Psychology Review, 35(3), 1-27. https://www.google.com/search?q=https://doi.org/10.1007/s10648-023-09766-x
Andrade-Girón, D., Marín-Rodriguez, W., Sandivar-Rosas, J., Carreño-Cisneros, E., Susanibar-Ramirez, E., Zúñiga-Rojas, M., Ángeles-Morales, J., & Villarreal-Torres, H. (2024). Generative artificial intelligence in higher education learning: A review based on academic databases. Iberoamerican Journal of Science Measurement and Communication. https://doi.org/10.47909/ijsmc.101
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis. Sustainability. https://doi.org/10.3390/su151712983
Bai, J. (2024). The Application, Challenges, and Reflection of Generative Artificial Intelligence in the Field of Education. Education Reform and Development. https://doi.org/10.26689/erd.v6i10.8522
Baidoo-Anu, D., Asamoah, D., Amoako, I., & Mahama, I. (2024)Exploración de las perspectivas de los estudiantes sobre la inteligencia artificial generativa en el aprendizaje de la educación superior.Discov Educ 3, 98. https://doi.org/10.1007/s44217-024-00173-z.
Bannister, P., Santamaría, A., & Alcalde, E. (2023). Una revisión sistemática de la IA generativa y la educación superior (en inglés como medio de instrucción).Aula Abierta,52(4), 401–409. https://doi.org/10.17811/rifie.52.4.2023.401-409.
Bannister, P., Santamaría-Urbieta, A., & Alcalde-Peñalver, E. (2023). A Systematic Review of Generative AI and (English Medium Instruction) Higher Education. Aula Abierta. https://doi.org/10.17811/rifie.52.4.2023.401-409
Batista, J., Mesquita, A., & Carnaz, G. (2024). Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review. Information. https://doi.org/10.3390/info15110676
Bell, R., & Bell, H. (2023). Educación emprendedora en la era de la inteligencia artificial generativa. Educación emprendedora, 6(3), 229-244. https://doi.org/10.1007/s41959-023-00099-x.
Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-023-10039-y
Cordero, J., Torres-Zambrano, J., & Cordero-Castillo, A. (2024). Integration of Generative Artificial Intelligence in Higher Education: Best Practices. Education Sciences. https://doi.org/10.3390/educsci15010032
Costello, E. (2023). ChatGPT and the Educational AI Chatter: Fullof Bullshit or Trying to Tell Us Something? Postdigital Science and Education. https://doi.org/10.1007/s42438-023-00398-
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. https://doi.
Cox, A., Cameron, D., Checco, A., Herrick, T., Mawson, M., &Steadman-Jones, R. (2022). Criteria of quality in fiction-based}research to promote debate about the use of AI and robots inHigher Education. Higher Education Research and Development.
Crompton, H., Jeffery, J., & Pryor, L. (2024). Artificial intelligence in education: The state of the field. Journal of Digital Learning in Teacher Education, 40(1), 4-21. https://www.google.com/search?q=https://doi.org/10.1080/21532974.2023.2258903
Daniel, K., Msambwa, M., & Wen, Z. (2025). Can Generative AI Revolutionise Academic Skills Development in Higher Education? A Systematic Literature Review. European Journal of Education. https://doi.org/10.1111/ejed.70036
Farrelly, T., & Baker, N. (2023). Generative Artificial Intelligence: Implications and Considerations for Higher Education Practice. Education Sciences. https://doi.org/10.3390/educsci13111109
Guo, R., Huang, X., & Zhang, Y. (2023). The impact of AI-generated text on academic writing of postgraduate students. Computers and Education Open, 5, 100145. https://doi.org/10.1016/j.caeo.2023.100145
Hooda, M., Rana, C., Dahiya, O., Rizwan, A., & Hossain, M. S. (2022). Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/5215722
https://doi.org/10.1080/07294360.2022.2087603
Hurlburt, G., & Reisman, S. (2023). The Importance of Educating Computational Educators. Computer, 56(3), 131–134. https:// doi.org/10.1109/MC.2023.3235097 Iskender, A. (2023). Holy or Unholy? Interview with Open AI’s ChatGPT. European Journal of Tourism Research, 34. https://doi. org/10.54055/ejtr.v34i.3169
Jiao, P., Ouyang, F., Zhang, Q., & Alavi, A. H. (2022). Artificial intelligence-enabled prediction model of student academic performance in online engineering education. Artificial Intelligence Review, 55(8), 6321–6344. https://doi.org/10.1007/s10462-022- 10155-y
Johinke, R., Cummings, R., & Di Lauro, F. (2023). Reclaiming the technology of higher education for teaching digital writing in a post—pandemic world. Journal of University Teaching and Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.01
Johnson, S., Smith, R., & Brown, L. (2021). Gaps in the literature on AI in higher education: A critical analysis. Journal of Educational Technology, 17(2), 45-62.
Kapterev, A. (2023). Challenges of generative artificial intelligence for the higher education system. RUDN Journal of Informatization in Education. https://doi.org/10.22363/2312-8631-2023-20-3-255-264
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Duderstadt, S., Fischer, F., Gurevych, I., Hüllermeier, E., Krusche, S., Kutyniok, G., Lohse, M., Wasserfuhr, R., & Wolf, B. (2023). ChatGPT for good? On opportunities and challenges of large language 1 models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Khan, R. A., Jawaid, M., Khan, A. R., & Sajjad, M. (2023). ChatGPT-Reshaping medical education and clinical management. Pakistan Journal of Medical Sciences, 39(2), 605–607. https:// doi.org/10.12669/pjms.39.2.7653
King, M. R. (2023). A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education. Cellular and Molecular Bioengineering, 16(1), 1–2. https://doi.org/10.1007/s12195-022- 00754-8
Lameras, P., Arnab, S., Dunwell, I., & Stewart, D. (2024). The pedagogical potential of generative AI in higher education: A scoping review. British Journal of Educational Technology, 55(1), 5-25. https://www.google.com/search?q=https://doi.org/10.1111/bjet.13383
Lee, S., & Moore, R. (2024). Harnessing Generative AI (GenAI) for Automated Feedback in Higher Education: A Systematic Review. Online Learning. https://doi.org/10.24059/olj.v28i3.4593
López, M., Vargas, A., & Castro, P. (2024). Immersive learning environments powered by generative AI: Enhancing student engagement in higher education. Interactive Learning Environments, 32(1), 1-15. https://www.google.com/search?q=https://doi.org/10.1080/10494820.2022.2048765
Mittal, U., Sai, S., Chamola, V., & Sangwan, D. (2024). A Comprehensive Review on Generative AI for Education. IEEE Access, 12, 142733-142759. https://doi.org/10.1109/ACCESS.2024.3468368
Nikolic, S., Wentworth, I., Sheridan, L., Moss, S., Duursma, E., Jones, R., Ros, M., & Middleton, R. (2024). A systematic literature review of attitudes, intentions and behaviours of teaching academics pertaining to AI and generative AI (GenAI) in higher education: An analysis of GenAI adoption using the UTAUT framework. Australasian Journal of Educational Technology. https://doi.org/10.14742/ajet.9643
Ogunleye, B., Zakariyyah, K., Ajao, O., Olayinka, O., & Sharma, H. (2024). A Systematic Review of Generative AI for Teaching and Learning Practice. ArXiv, abs/2406.09520. https://doi.org/10.3390/educsci14060636
org/10.1080/14703297.2023.219014
Pérez, A., & Rodríguez, B. (2022). AI-powered chatbots as virtual tutors in higher education: An exploratory study. Computers in Human Behavior, 130, 107179. https://www.google.com/search?q=https://doi.org/10.1016/j.chb.2021.107179
Preiksaitis, C., & Rose, C. (2023). Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review. JMIR Medical Education, 9. https://doi.org/10.2196/48785
Ruiz-Rojas, L., Acosta-Vargas, P., De-Moreta-Llovet, J., & González-Rodríguez, M. (2023). Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix. Sustainability. https://doi.org/10.3390/su151511524
Silva, C., & Martínez, F. (2022). Unexplored territories: Identifying research gaps in the application of AI in university teaching. Educational Innovation, 25(3), 78-95.
Walczak, K., & Cellary, W. (2023). Challenges for higher education in the era of widespread access to Generative AI. Economics and Business Review, 9(2), 71–100. https://doi.org/10.18559/ebr.2023.2.743.
.Wang, P., Jing, Y., & Shen, S. (2025). A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies. Internet High. Educ., 65, 100996. https://doi.org/10.1016/j.iheduc.2025.100996
White, G., Davis, H., & Miller, J. (2023). Mapping the uncharted: A review of limitations in current research on AI for learning. International Journal of Educational Research, 100, 101542. https://www.google.com/search?q=https://doi.org/10.1016/j.ijer.2023.101542
Yao, J. (2024). The Application of Generative Artificial Intelligence in Education: Potential, Challenges, and Strategies. SHS Web of Conferences. https://doi.org/10.1051/shsconf/202420002008
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2024). Systematic review of research on artificial intelligence in higher education: A meta-analysis. International Journal of Educational Technology in Higher Education, 21(1), 1-23. https://www.google.com/search?q=https://doi.org/10.1186/s41239-023-00430-8
Zhang, X., Zhang, P., Shen, Y., Liu, M., Wang, Q., Gaševi?, D., & Fan, Y. (2024). A Systematic Literature Review of Empirical Research on Applying Generative Artificial Intelligence in Education. Frontiers of Digital Education. https://doi.org/10.1007/s
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2025 Henry Fernando Vallejo Ballestero, Rosa Elina Aguilar Pazos, Liliana Fuentes Seisdedos, Fabián Eduardo Fierro Saltos

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.