Beneficios de la Inteligencia Artificial en el aprendizaje de los estudiantes universitarios: una revisión sistemática
DOI:
https://doi.org/10.21556/edutec.2025.91.3607Palabras clave:
inteligencia artificial, educación superior, aprendizaje personalizado, rendimiento académico, revisión sistemáticaResumen
La inteligencia artificial (IA) está revolucionando la educación superior al facilitar la personalización, equidad y accesibilidad en el aprendizaje. Este trabajo presenta una revisión sistemática y bibliométrica de estudios publicados entre 2016 y 2024 que analizan los beneficios de la IA en el aprendizaje universitario. A partir de 178 estudios extraídos de la base de datos Scopus, se aplicó un enfoque mixto, combinando análisis cualitativos y cuantitativos.
Los resultados destacan que la IA potencia el rendimiento académico mediante la personalización del aprendizaje, la provisión de retroalimentación inmediata y la optimización de estrategias de estudio. Además, promueve la autonomía estudiantil, brindando herramientas para un aprendizaje autodirigido con apoyo continuo. En términos de accesibilidad, permite adaptar los materiales educativos a las necesidades individuales y superar barreras tanto económicas como geográficas.
Pese a estos avances, los estudios revisados subrayan la necesidad de investigaciones a largo plazo para evaluar su impacto sostenido en el desarrollo de habilidades cognitivas y socioemocionales. Asimismo, se recomienda ampliar su implementación en contextos con recursos tecnológicos limitados para garantizar que sus beneficios sean verdaderamente inclusivos.
Descargas
Citas
Acosta-Enríquez, B. G., Arbulú Ballesteros, M. A., & Hernández Soto, M. (2024). Knowledge, attitudes, and perceived Ethics regarding AI in education. AI & Society, 20(10). https://doi.org/10.1007/s40979-024-00157-4 DOI: https://doi.org/10.1007/s40979-024-00157-4
Baker, R. S., & Siemens, G. (2014). Educational data mining and learning analytics. In Cambridge Handbook of the Learning Sciences (2nd ed., pp. 253–271). Cambridge University Press. DOI: https://doi.org/10.1017/CBO9781139519526.016
Brown, A. (2018). Engaging students as partners in developing online learning resources: Reflections from a case study. European Journal of Engineering Education, 43(8), 924-936. https://doi.org/10.1080/03043797.2016.1232372 DOI: https://doi.org/10.1080/03043797.2016.1232372
Brynjolfsson, E., & McAfee, A. (2017). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
Cha, J., Kan, S.-Y., & Chia, P. W. (2016). College students' reflection on the uncritical use of technology. Journal of Korean Chemical Society, 60(2), 137–143. https://doi.org/10.5012/jkcs.2016.60.2.137 DOI: https://doi.org/10.5012/jkcs.2016.60.2.137
Chookaew, S., Kitcharoen, P., Howimanporn, S., & Parapattana, M. (2024). Fostering student competencies and perceptions with AI support. Computer Applications in Engineering Education, 7. https://doi.org/10.1016/j.caeai.2024.100308 DOI: https://doi.org/10.1016/j.caeai.2024.100308
Delcker, J., Heil, J., Ifenthaler, D., & Seufert, S. (2024). First-year students AI-competence as a predictor of higher achievement. International Journal of Educational Technology in Higher Education, 21(18). https://doi.org/10.1186/s41239-024-00452-7 DOI: https://doi.org/10.1186/s41239-024-00452-7
Ginting, D., Sabudu, D., Barella, Y., & Madkur, A. (2024). Student-centered learning in the digital age: A study of AI's role. International Journal of Educational Research and Evaluation, 13(3), 2006-2019. https://doi.org/10.11591/ijere.v13i3.27497 DOI: https://doi.org/10.11591/ijere.v13i3.27497
Graesser, A. C., Cai, Z., Morgan, B., & Wang, L. (2018). Assessment with Computer Agents that Engage in Conversational Dialogues and Trialogues with Learners. Computers in Human Behavior, 76, 607-616. https://doi.org/10.1016/j.chb.2017.03.041 DOI: https://doi.org/10.1016/j.chb.2017.03.041
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The Difference Between Emergency Remote Teaching and Online Learning. Educause Review.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Ilieva, G., Yankova, T., Klisarova-Belcheva, S., & Georgieva, T. (2023). Effects of Generative Chatbots in Higher Education: A Perspective on Efficiency. Information, 14(9), 492. https://doi.org/10.3390/info14090492 DOI: https://doi.org/10.3390/info14090492
Isnaini, S., & Muslimin, A. I. (2024). The Role of AI in Enhancing Marketing Communication Learning. Studies in Media and Communication, 12(4). https://doi.org/10.11114/smc.v12i4.7013 DOI: https://doi.org/10.11114/smc.v12i4.7013
Jackaria, P. M., Hajan, B. H., & Mastul, A.-R. H. (2024). A Comparative Analysis of the Rating of College Support Services in AI-enhanced Environments. International Journal of Learning, Teaching and Educational Research, 23(2), 478-492. https://doi.org/10.26803/ijlter.23.2.23 DOI: https://doi.org/10.26803/ijlter.23.2.23
Jo, H. (2024). From concerns to benefits: a comprehensive study on AI’s educational impact. International Journal of Educational Technology in Higher Education, 21(35). https://doi.org/10.1186/s41239-024-00471-4 DOI: https://doi.org/10.1186/s41239-024-00471-4
Johnson, N., Seaman, J., & Seaman, J. (2024). The Anticipated Impact of Artificial Intelligence on Learning and Assessment. Online Learning Journal, 28(3). https://doi.org/10.24059/olj.v28i3.4646 DOI: https://doi.org/10.24059/olj.v28i3.4646
Katsamakas, E., Pavlov, O. V., & Saklad, R. (2024). Artificial Intelligence and the Transformation of Higher Education: Student and Faculty Perspectives. Sustainability, 16(14), 6118 https://doi.org/10.3390/su16146118 DOI: https://doi.org/10.3390/su16146118
Kavitha, K., Joshith, V. P., Rajeev, N. P., & Asha, S. (2024). Artificial Intelligence in Higher Education: A Comparative Study. European Journal of Educational Research, 13(3), 1121-1137. https://doi.org/10.12973/eu-jer.13.3.1121 DOI: https://doi.org/10.12973/eu-jer.13.3.1121
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.
Michel-Villarreal, R., Vilalta-Perdomo, E., & Salimi, S. (2023). Challenges and Opportunities of Generative AI in Education. Education Sciences, 13(9), 856. https://doi.org/10.3390/educsci13090856 DOI: https://doi.org/10.3390/educsci13090856
Muniasamy, A., & Alasiry, A. (2020). Deep learning: The impact on future eLearning. International Journal of Emerging Technologies in Learning (iJET), 15(1). https://doi.org/10.3991/IJET.V15I01.11435 DOI: https://doi.org/10.3991/ijet.v15i01.11435
Mutambik, I. (2024). The Use of AI-Driven Automation to Enhance Student Engagement and Satisfaction. Sustainability, 16(14), 5970. https://doi.org/10.3390/su16145970 DOI: https://doi.org/10.3390/su16145970
Nguyen, T., & Lee, C. (2019). Personalized Learning through AI: A Path to Greater Academic Success. International Journal of Recent Technology and Engineering, 8 (2S4). https://doi.org/10.35940/ijrte.B1067.0782S419 DOI: https://doi.org/10.35940/ijrte.B1067.0782S419
Niloy, A. C., Bari, M. A., Sultana, J., & Chowdhury, R. R. (2024). Why do students use ChatGPT? Answering through data-driven analysis. Computer Applications in Engineering Education, 6. https://doi.org/10.1016/j.caeai.2024.100208 DOI: https://doi.org/10.1016/j.caeai.2024.100208
Niu, W., Zhang, W., Zhang, C., & Chen, X. (2024). The Role of Artificial Intelligence Autonomy in Higher Education. Sustainability, 6(3), 1276. https://doi.org/10.3390/su16031276 DOI: https://doi.org/10.3390/su16031276
Pitso, T. (2023). Post-COVID-19 Higher Learning: Towards Telagogy. International Journal of Education, 11(2). https://doi.org/10.22492/ije.11.2.02 DOI: https://doi.org/10.22492/ije.11.2.02
Rahman, T., & Singh, A. (2023). AI for inclusivity: Enhancing learning for students with disabilities. Computers & Education. https://doi.org/10.1016/j.compedu.2022.104689
Rosé, C. P., McLaughlin, E. A., Liu, R., & Koedinger, K. R. (2015). Explanatory Feedback for Open-ended Math Problem Solving. Journal of Educational Psychology, 107(3), 588–602.
Shabbir, A., Rizvi, S., & Alam, M. M. (2024). Beyond boundaries: Navigating the positive potential of AI in higher education. Heliyon, 10(16). https://doi.org/10.1016/j.heliyon.2024.e35845 DOI: https://doi.org/10.1016/j.heliyon.2024.e35845
Shahzad, M. F., Xu, S., Lim, W. M., Yang, X., & Khan, Q. R. (2024). Artificial intelligence and social media on academic outcomes. Heliyon, 10(8). https://doi.org/10.1016/j.heliyon.2024.e29523 DOI: https://doi.org/10.1016/j.heliyon.2024.e29523
Silva, C. A. G. D., Ramos, F. N., de Moraes, R. V., & Santos, C. M. (2024). ChatGPT: Challenges and Benefits in Software Projects. Sustainability, 16(3), 1245. https://doi.org/10.3390/su16031245 DOI: https://doi.org/10.3390/su16031245
VanLehn, K. (2011). The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist, 46(4), 197-221. DOI: https://doi.org/10.1080/00461520.2011.611369
Villegas-José, V., & Delgado-García, M. (2024). Artificial Intelligence: innovative educational perspectives. Pixel-Bit, Revista de Medios y Educación, 71, 159-177. https://doi.org/10.12795/pixelbit.107760 DOI: https://doi.org/10.12795/pixelbit.107760
Woolf, B. P. (2020). Building Intelligent Interactive Tutors: Student-centered Strategies for Revolutionizing E-Learning. Morgan Kaufmann.
Zambrano, A. B., & Pérez, D. A. Q. (2024). Benefits and Limitations for Salvadoran University Students. European Public and Social Innovation Review, 9, 1-19. https://doi.org/10.31637/epsir-2024-368 DOI: https://doi.org/10.31637/epsir-2024-368
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? Computers & Education, 147, 103759. https://doi.org/10.1186/s41239-019-0171-0 DOI: https://doi.org/10.1186/s41239-019-0171-0
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2025 Edutec, Revista Electrónica de Tecnología Educativa

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Con la entrega del trabajo, los autores ceden los derechos de publicación a la revista Edutec. Por su parte, Edutec autoriza su distribución siempre que no se altere su contenido y se indique su origen. Al final de cada artículo publicado en Edutec se indica cómo se debe citar.
La dirección y el consejo de redacción de Edutec Revista Electrónica de Tecnología Educativa, no aceptan ninguna responsabilidad sobre las afirmaciones e ideas expresadas por los autores en sus trabajos.