Beneficios de la Inteligencia Artificial en el aprendizaje de los estudiantes universitarios: una revisión sistemática

Autores/as

DOI:

https://doi.org/10.21556/edutec.2025.91.3607

Palabras clave:

inteligencia artificial, educación superior, aprendizaje personalizado, rendimiento académico, revisión sistemática

Resumen

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

Los datos de descargas todavía no están disponibles.

Biografía del autor/a

Juan Jesus Gutiérrez-Castillo, Universidad de Sevilla (España)

Profesor del Departamento de Didáctica y Organización Educativa de la Facultad de Ciencias de la Educación (Universidad de Sevilla). Miembro del Grupo de Investigación Didáctica: Análisis tecnológico y cualitativo de los procesos de enseñanza-aprendizaje (HUM-390) y del Grupo de Tecnología Educativa. Editor adjunto de la Revista: “Píxel-Bit. Revista de Medios y Educación”, editada por la Universidad de Sevilla. Miembro de la asociación EDUTEC. He participado en numerosas investigaciones y proyectos de innovación y mejora relacionados con el ámbito de las Tecnologías de la Información y la Comunicación (TIC), campo actual en el que vengo desempeñando mi labor investigativa, reflejándose este compromiso en la publicación de trabajos en revistas de reconocido prestigio nacional e internacional.

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

27-03-2025

Cómo citar

Gutiérrez-Castillo, J. J., Romero Tena, R., & León-Garrido, A. (2025). Beneficios de la Inteligencia Artificial en el aprendizaje de los estudiantes universitarios: una revisión sistemática. Edutec, Revista Electrónica De Tecnología Educativa, (91), 185–206. https://doi.org/10.21556/edutec.2025.91.3607