Inteligencia artificial aplicada a la investigación científica universitaria en los procesos de enseñanza y aprendizaje. Una revisión sistemática
DOI:
https://doi.org/10.26820/reciamuc/9.(4).diciembre.2025.155-177Palabras clave:
Inteligencia artificial (IA), Educación superior, Revisión sistemática, Gobernanza algorítmica, Procesos de enseñanza-aprendizajeResumen
La rápida expansión de la Inteligencia Artificial (IA) exige una comprensión sistemática de su impacto en la educación superior, lo que hace urgente investigar sus implicaciones en la investigación científica y los procesos de enseñanza-aprendizaje universitarios. El objetivo de este estudio fue analizar y sintetizar la evidencia científica más reciente (2020-2025) sobre la aplicación de la IA en este contexto, identificando bases teóricas, tendencias, beneficios y desafíos. Se ejecutó una revisión sistemática de la literatura siguiendo las directrices PRISMA 2020, examinando artículos originales de bases de datos de alto impacto. Los resultados revelan que la implementación de la IA se basa en el Aprendizaje Adaptativo y se materializa en Sistemas de Tutoría Inteligente (ITS) y en herramientas de IA Generativa, reportando un aumento en la eficiencia del aprendizaje y la calidad de la producción científica. La conclusión principal subraya que, si bien la IA es un motor de transformación y eficiencia, su avance está críticamente limitado por la falta de gobernanza algorítmica y los desafíos éticos relacionados con el sesgo y la privacidad de los datos, lo que requiere un foco institucional en marcos de responsabilidad y equidad.
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Abulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of Industry 4.0: Challenges, opportunities, and ethical dimensions. Journal of Cleaner Production, 437, 140527.
Alier, M., García-Peñalvo, F.-J., & Camba, J. D. (2024). Generative artificial intelligence in education: From deceptive to disruptive. International Journal of Interactive Multimedia and Artificial Intelligence, 8(5). https://doi.org/10.9781/ijimai.2024.02.011
Almasri, F. (2024). Exploring the Impact of Artificial Intelligence in Teaching and Learning of Science: A Systematic Review of Empirical Research. Research in Science Education. https://doi.org/10.1007/s11165-024-10176-3
Almeida, J., & Soto, R. (2025). IA y eficiencia en el aprendizaje: Un estudio cuasi-experimental. Revista de Educación Superior Tecnológica, 15(2), 45-60.
Amofa, B., Kamudyariwa, X., Fernandes, F., Osobajo, O., Jeremiah, F., & Oke, A. (2025). Navigating the Complexity of Generative Artificial Intelligence in Higher Education: A Systematic Literature Review. Education Sciences. https://doi.org/10.3390/educsci15070826
Arteaga, E. E. P., Sinchi, G. F. P., Ruiz, B. H. Y., Valarezo, S. N. E., Suárez, I. V. R., & Mora, C. A. V. (2025). La inteligencia artificial en la educación: desafíos y oportunidades. South Florida Journal of Development, 6(5), e5219. https://doi.org/10.46932/sfjdv6n5-006
Arreaga Barros, C., Mendoza, J., & Torres, R. (2025). Unintentional plagiarism and academic integrity in the age of generative AI. International Journal for Educational Integrity, 21(2), 45-62. https://doi.org/10.1007/s40979-025-00145-2
Ayeni, O., Hamad, N., Chisom, O., Osawaru, B., & Adewusi, E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18, 261–271.
Benavides-Lara, R., León-Chimbolema , J., Tixi-Toapanta, H., & Miguez-Paredes, R. (2025). La integración de la inteligencia artificial generativa en la educación superior. Revista Conrado, 21(104), https://conrado.ucf.edu.cu/index.php/conrado/article/view/4555
Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21, 1-41. https://doi.org/10.1186/s41239-023-00436-z
Borja, V., Castillo, M., & Ramírez, A. (2025). AI-driven personalization in higher education teaching strategies. Computers & Education, 215,. https://doi.org/10.1016/j.compedu.2025.105012
Cedeño, M., López, G., & Fernández, H. (2024). Digital divide and faculty training barriers in AI adoption. Journal of Educational Technology Development and Exchange, 17(2), 88-105. https://doi.org/10.18785/jetde.1702.06
Céspedes, M., Gómez, P., & Ruiz, V. (2023). Desafíos pedagógicos y adopción de IA en la docencia universitaria. Cuadernos de Educación, 12(3), 88-105.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118.
Costa, C. J., Aparicio, M., Aparicio, S., & Aparicio, J. T. (2024). The democratization of artificial intelligence: Theoretical framework. Applied Sciences, 14, 8236.
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20, 1-22. https://doi.org/10.1186/s41239-023-00392-8
Díaz, B., & Nussbaum, M. (2024). Artificial intelligence for teaching and learning in schools: The need for pedagogical intelligence. Computers & Education, 217, 105071.
Dimitriadou, E., & Lanitis, A. (2023). A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learning Environments, 10, 12.
Dogan, M., Dogan, T., & Bozkurt, A. (2023). The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies. Applied Sciences. https://doi.org/10.3390/app13053056
Ertel, W. (2025). Introduction to artificial intelligence. Springer.
Fajardo Aguilar, M., Santos, R., & González, P. (2023). Systematic review of AI in university education: Institutional efficiency and digital transformation. Educational Technology Research and Development, 71(4), 1567-1589. https://doi.org/10.1007/s11423-023-10245-8
Fan, O., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 27, 7893 - 7925. https://doi.org/10.1007/s10639-022-10925-9
Fuentes, A., & Lillo, C. (2023). Impacto de la IA en la calidad de la investigación científica: Un análisis comparativo. Revista Chilena de Investigación Científica, 30(4), 112-130.
García-Peñalvo, F. J., Almaraz-Herrera, I., & García-Peñalvo, M. J. (2025). Adaptive learning: The theoretical framework for AI in higher education. Journal of Educational Technology & Society, 28(1), 1-15.
Gibson, D., Kovanovic, V., Ifenthaler, D., Dexter, S., & Feng, S. (2023). Learning theories for artificial intelligence promoting learning processes. British Journal of Educational Technology, 54, 1125–1146.
González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial Intelligence for Student Assessment: A Systematic Review. Applied Sciences. https://doi.org/10.3390/app11125467
Fernández-Miranda, M, Román-Acosta, D, Jurado-Rosas, A., Limón-Dominguez, D, & Torres-Fernández, C. (2024). Artificial Intelligence in Latin American Universities: Emerging Challenges. Computación y Sistemas, 28(2), 435-450. https://doi.org/10.13053/cys-28-2-4822
González-Pérez, L. I., & Ramírez-Montoya, M. S. (2022). Components of Education 4.0 in 21st century skills frameworks: Systematic review. Sustainability, 14, 1493.
Gordon, M., Daniel, M., Ajiboye, A., Uraiby, H., Xu, N., Bartlett, R., Hanson, J., Haas, M., Spadafore, M., Grafton-Clarke, C., Gasiea, R., Michie, C., Corral, J., Kwan, B., Dolmans, D., & Thammasitboon, S. (2024). A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher, 46, 446 - 470. https://doi.org/10.1080/0142159x.2024.2314198
Guo, S., Zheng, Y., & Zhai, X. (2024). Artificial intelligence in education research during 2013–2023: A review based on bibliometric analysis. Education and Information Technologies, 29, 16387–16409.
Halkiopoulos, C., & Gkintoni, E. (2024). Leveraging AI in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology—A systematic analysis. Electronics, 13, 3762.
Hardaker, G., & Glenn, L. (2025). Artificial intelligence for personalized learning: a systematic literature review. The International Journal of Information and Learning Technology. https://doi.org/10.1108/ijilt-07-2024-0160
Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (2019). Cochrane handbook for systematic reviews of interventions (2.ª ed.). Wiley.
Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57, 542–570.
Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education. En Data ethics: Building trust—How digital technologies can serve humanity (pp. 621–653). Globethics Publications.Acevedo Carrillo, M., Rodríguez, P., & Silva, L. (2025). Algorithmic governance and ethical frameworks for AI in Latin American universities. Journal of Higher Education Policy, 42(3), 215-230. https://doi.org/10.1080/01587919.2025.1234567
Huertas, E., & Montero, M. L. (2024). Uso de IA generativa en la síntesis de conocimiento científico. Revista de Ciencia y Sociedad, 51(1), 170-185.
Irish, A. L., Gazica, M. W., & Becerra, V. (2025). A qualitative descriptive analysis on generative artificial intelligence: Bridging the gap in pedagogy to prepare students for the workplace. Discover Education, 4, 48.
Jaboob, A., Durrah, O., & Chakir, A. (2024). Artificial intelligence: An overview. En Engineering applications of artificial intelligence (3–22). Springer.
Jin, F., Sun, L., Pan, Y., & Lin, C.-H. (2025). High heels, compass, Spider-Man, or drug? Metaphor analysis of generative artificial intelligence in academic writing. Computers & Education, 228, 105248.
Kestin, T., Miller, K., & Zhang, L. (2024). Intelligent tutoring systems and learning outcomes in STEM education. Journal of Learning Analytics, 11(1), 34-52. https://doi.org/10.18608/jla.2024.7801
Kim, M., Kim, J., Knotts, T. L., & Albers, N. D. (2025). AI for academic success: Investigating the role of usability, enjoyment, and responsiveness in ChatGPT adoption. Education and Information Technologies, 30, 14393–14414.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering (Version 2.3).
Liang, J., Stephens, J., & Brown, G. (2025). A systematic review of the early impact of artificial intelligence on higher education curriculum, instruction, and assessment. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1522841
Lim, J., Lee, U., Koh, J., Jeong, Y., Lee, Y., Byun, G., Jung, H., Jang, Y., Lee, S., & Moon, J. (2025). Development and implementation of a generative artificial intelligence-enhanced simulation to enhance problem-solving skills for pre-service teachers. Computers & Education, 232, 105306.
Lo, C. K., Hew, K. F., & Jong, M. S. (2024). The influence of ChatGPT on student engagement: A systematic review and future research agenda. Computers & Education, 219, 105100.
López-Meneses, E., López-Catalán, L., Pelícano-Piris, N., & Mellado-Moreno, P. (2025). Artificial Intelligence in Educational Data Mining and Human-in-the-Loop Machine Learning and Machine Teaching: Analysis of Scientific Knowledge. Applied Sciences. https://doi.org/10.3390/app15020772
Mao, J., Chen, B., & Liu, J. C. (2024). Generative artificial intelligence in education and its implications for assessment. TechTrends, 68, 58–66.
Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., Tondeur, J., De Laat, M., Buckingham Shum, S., & Gaševi?, D. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Computers and Education: Artificial Intelligence, 3, 100056.
Martínez, S., Castro, F., & Núñez, J. (2024). Learning Analytics and Machine Learning for academic decision-making. International Journal of Educational Technology in Higher Education, 21(1), 1-18.
Mastarreno Tumbaco, L., Ortega, F., & Salazar, M. (2025). Student autonomy and self-directed learning in AI-enhanced environments. Active Learning in Higher Education, 26(2), 145-163. https://doi.org/10.1177/14697874251234567
Memarian, B., & Doleck, T. (2024). Teaching and learning artificial intelligence: Insights from the literature. Educ. Inf. Technol., 29, 21523-21546. https://doi.org/10.1007/s10639-024-12679-y
Montoya Alvarado, J., Ríos, C., & Vega, M. (2025). Contextual challenges of AI implementation in Latin American higher education. Higher Education Research & Development, 44(1), 78-95. https://doi.org/10.1080/07294360.2025.1234568
Montoya, F., & Rivera, E. (2025). Ética y gobernanza algorítmica: Un desafío para la política universitaria. Revista Iberoamericana de Educación a Distancia, 28(1), 220-235.
Ocen, S., Elasu, J., Aarakit, S., & Olupot, C. (2025). Artificial intelligence in higher education institutions: review of innovations, opportunities and challenges. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1530247
OEI. (2025). Digital transformation and educational equity in Ibero-America. Organization of Ibero-American States. https://doi.org/10.5678/oei.2025.dteq
Oubibi, M., Hryshayeva, K., & Huang, R. (2025). Enhancing postgraduate digital academic writing proficiency: The interplay of artificial intelligence tools and ChatGPT. Interactive Learning Environments, 1–19.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Systematic Reviews, 10, 71.
Pérez-López, M., & Vázquez, I. (2023). IA y la teoría del connectivism en la investigación co-creada. Estudios Pedagógicos, 49(2), 200-215.
Peters, M. A., Jackson, L., Papastephanou, M., Jandri?, P., Lazaroiu, G., Evers, C. W., Cope, B., Kalantzis, M., Araya, D., & Tesar, M. (2024). AI and the future of humanity: ChatGPT-4, philosophy and education—Critical responses. Educational Philosophy and Theory, 56, 828–862.
Qadir, J. (2023). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. En 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1–9). IEEE.
Qehaja, A. (2025). Strategic integration of artificial intelligence solutions to transform teaching practices in higher education. foresight. https://doi.org/10.1108/fs-04-2024-0079
Ronny Fabrizzio , A. Y., Aveiga Paini, C. E., Cruz Quijije, A. M., & Otero Agreda, O. E. (2025). Inteligencia artificial (IA) para el aprendizaje en el contexto académico universitario . Código Científico Revista De Investigación, 6(E2), 1854–1867. https://doi.org/10.55813/gaea/ccri/v6/nE2/1140
Rigley, E., Bentley, C., Krook, J., & Ramchurn, S. D. (2024). Evaluating international AI skills policy: A systematic review of AI skills policy in seven countries. Global Policy, 15, 204–217.
Salas-Pilco, S., & Yang, Y. (2022). Artificial intelligence applications in Latin American higher education: a systematic review. International Journal of Educational Technology in Higher Education, 19. https://doi.org/10.1186/s41239-022-00326-w
Salazar, D., & Rivas, A. (2025). Efectividad de los sistemas de tutoría inteligente en la resolución de problemas técnicos. Ciencia e Ingeniería, 46(3), 110-125.
Samala, A. D., Rawas, S., Wang, T., Reed, J. M., Kim, J., Howard, N.-J., & Ertz, M. (2025). Unveiling the landscape of generative artificial intelligence in education: A comprehensive taxonomy of applications, challenges, and future prospects. Education and Information Technologies, 30, 3239–3278.
Saputra, I., Astuti, M., Sayuti, M., & Kusumastuti, D. (2023). Integration of artificial intelligence in education: Opportunities, challenges, threats and obstacles. A literature review. Indonesian Journal of Computer Science, 12, 1590–1600.
Segooa, M., Modiba, F., & Motjolopane, I. (2025). Generative Artificial Intelligence Tools to Augment Teaching Scientific Research in Postgraduate Studies. South African Journal of Higher Education. https://doi.org/10.20853/39-1-6275
Sperling, K., Stenberg, C.-J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education Open, 6, 100169.
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2024). AI-driven adaptive learning for sustainable educational transformation. Sustainable Development, 33, 1921–1947.
Tetzlaff, L., Schmiedek, F., & Brod, G. (2021). Developing personalized education: A dynamic framework. Educational Psychology Review, 33, 863–882.
Tinoco, A., Herrera, D., & Morales, S. (2025). AI-assisted literature review and scientific collaboration in academic research. Scientometrics, 130(3), 1457-1478. https://doi.org/10.1007/s11192-025-04989-6
Torres-Gómez, L., Vidal, J., & Hernández, G. (2023). Automatización de la evaluación mediante IA: Percepciones docentes. Innovación Educativa, 23(92), 70-84.
Vallejo, M., Ruiz, A., & Castillo, E. (2025). Digital innovation and pedagogical methods in AI-enhanced universities. Journal of Computing in Higher Education, 37(2), 234-256. https://doi.org/10.1007/s12528-025-09345-1
Valverde, C., & Herrera, B. (2024). Brecha digital e infraestructura: Barreras para la implementación de IA en universidades latinoamericanas. Revista de Investigación en Tecnología y Ciencias Sociales, 7(1), 35-50.
Vargas-Salas, O., De Manchego, V., Cateriano-Chávez, T., & Molina-Rodríguez, F. (2025). Reform in University Education as a Consequence of Artificial Intelligence: A Systematic Review of the Literature. Journal of Educational and Social Research. https://doi.org/10.36941/jesr-2025-0086
Wang, D., Tao, Y., & Chen, G. (2024). Artificial intelligence in classroom discourse: A systematic review of the past decade. International Journal of Educational Research, 123, 102275.
Wang, F., Cheung, A. C. K., Neitzel, A. J., & Chai, C. S. (2024). Does chatting with chatbots improve language learning performance? A meta-analysis of chatbot-assisted language learning. Review of Educational Research, 95, 623–660.
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
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Syst. Appl., 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167
Wang, X., Chen, Y., & Li, W. (2025). Comparative analysis of intelligent tutoring systems across educational contexts. Educational Technology & Society, 28(2), 112-128. https://doi.org/10.30191/ETS.202504_28(2).0008
Yan, L., Greiff, S., Teuber, Z., & Gaševi?, D. (2024). Promises and challenges of generative artificial intelligence for human learning. Nature Human Behaviour, 8, 1839–1850.
Yim, I. H. Y., & Su, J. (2024). Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Journal of Computer Education, 12, 93–131.
Zawacki-Richter, O., Marín, V., 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. https://doi.org/10.1186/s41239-019-0171-0
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021, 8812542.
Zou, D., Xie, H., & Kohnke, L. (2025). Navigating the future: Establishing a framework for educators’ pedagogic artificial intelligence competence. European Journal of Education, 60, e70117.
Zysberg, L., & Schwabsky, N. (2021). School climate, academic self-efficacy and student achievement. Educational Psychology, 41, 467–482.
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Derechos de autor 2025 Raúl Ruperto Pánchez Hernández, Jhalmar Miguel Lombeida Tufiño, Verónica Elizabeth Jiménez Lozano, Verónica Vanessa Mackliff Peñafiel
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