Artificial intelligence and higher education: a review of opportunities, risks, and transformations in learning processes
DOI:
https://doi.org/10.56200/mentor.v5i4.13148Keywords:
artificial intelligence, higher education, personalized learning, educational technology, pedagogical transformationAbstract
The aim of this study was to analyze the opportunities, risks, and pedagogical transformations associated with the use of artificial intelligence in higher education learning processes. A theoretical review based on documentary analysis was conducted through the critical examination and comparative synthesis of scientific literature published between 2021 and 2026 in databases such as Scopus, Web of Science, and ERIC. The analysis explored the main dimensions through which artificial intelligence is reshaping university teaching and learning, including personalized learning systems, generative AI tools, algorithmic assessment, and emerging ethical and epistemological challenges. The reviewed literature revealed that artificial intelligence offers significant benefits depending on institutional contexts and the pedagogical approaches guiding its implementation, while also posing risks related to academic dependency, superficial learning, and assessment bias. The opportunities and risks identified represent an interdependent tension that influences the effective integration of artificial intelligence into higher education. The findings suggest that the pedagogical transformation enabled by artificial intelligence depends less on the sophistication of the technologies themselves and more on the institutional capacity to establish curricular guidelines, implement ethical policies, and foster critical digital competencies among both teachers and students.
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Agrawal, K., Goktas, P., Kumar, N., & Leung, M.-F. (2025). Artificial intelligence in personalized nutrition and food manufacturing: A comprehensive review of methods, applications, and future directions. Frontiers in Nutrition, 12, 1636980. https://doi.org/10.3389/fnut.2025.1636980
Alfredo, R., Echeverria, V., Jin, Y., Yan, L., Swiecki, Z., Gašević, D., & Martinez-Maldonado, R. (2024). Human-centred learning analytics and AI in education: A systematic literature review. Computers and Education: Artificial Intelligence, 6, 100215. https://doi.org/10.1016/j.caeai.2024.100215
Amann, J., Blasimme, A., Vayena, E., Frey, D., & Madai, V. I. (2020). Explainability for artificial intelligence in healthcare: A multidisciplinary perspective. BMC Medical Informatics and Decision Making, 20(1), 310. https://doi.org/10.1186/s12911-020-01332-6
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4337484
Becerra Apolo, W. L., Navarrete Marín, L. P., Izquierdo Patiño, S. N., Chacón Alcívar, D. E., Ochoa Chango, N. L., & Condoy Machuca, M. E. (2024). Perfil Profesional y el Ejercicio Docente de los Educadores Ecuatoriano. Ciencia Latina Revista Científica Multidisciplinar, 8(4), 12392–12416. https://doi.org/10.37811/cl_rcm.v8i4.13444
Bolaño-García, M., & Duarte-Acosta, N. (2023). Una revisión sistemática del uso de la inteligencia artificial en la educación. Revista Colombiana de Cirugía. https://doi.org/10.30944/20117582.2365
Bustamante, P. (2024). Beneficios de la inteligencia artificial en la educación: Descúbrelas. Aula Simple.
Chávez Ávila, P. (2017). El portafolio digital como instrumento de reflexión y autoevaluación docente en la educación superior. Aletheia. Revista de Desarrollo Humano, Educativo y Social Contemporáneo, 9i1(21450366), 76–97. https://doi.org/10.11600/ale.v9i1.380
Díaz Vera, J. P., Molina Izurieta, R., Bayas Jaramillo, C. M., & Ruiz Ramírez, A. K. (2024). Asistencia de la inteligencia artificial generativa como herramienta pedagógica en la educación superior. Revista de Investigación En Tecnologías de La Información, 12(26), 61–76. https://doi.org/10.36825/RITI.12.26.006
Dumitru, C. (2024). ChatGPT for Personalized Learning in Higher Education. In M. Lahby, Empowering Digital Education with ChatGPT (1st ed., pp. 98–110). Chapman and Hall/CRC. https://doi.org/10.1201/9781032716350-7
Eras Guaman, Y. E., Camacho Martínez, Á. E., Echeverría Saldarriaga, P. F., Jaramillo Montecinos, R. V., & Maldonado, M. D. R. (2024). Innovación educativa mediante inteligencia artificial en la enseñanza del siglo XXI. Una revisión sistemática: Educational innovation through artificial intelligence in 21st century teaching. A systematic review. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 5(4). https://doi.org/10.56712/latam.v5i4.2575
European Commission. Directorate General for Education, Youth, Sport and Culture. (2022). Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators. Publications Office. https://data.europa.eu/doi/10.2766/153756
García Peñalvo, F. J., Llorens-Largo, F., & Vidal, J. (2023). La nueva realidad de la educación ante los avances de la inteligencia artificial generativa. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 9–39. https://doi.org/10.5944/ried.27.1.37716
Gašević, 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
Harder, N., Ali, F., Turner, S., Workum, K., & Gillman, L. (2025). Comparing artificial intelligence-enhanced virtual reality and simulated patient simulations in undergraduate nursing education. Clinical Simulation in Nursing, 105, 101780. https://doi.org/10.1016/j.ecns.2025.101780
Hernández-Herrera, J. R., Ortiz-Bejar, J., & Ortiz-Bejar, J. (2026). Adaptive and Personalized Learning in Higher Education: An Artificial Intelligence-Based Approach. Education Sciences, 16(1), 109. https://doi.org/10.3390/educsci16010109
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., & Koedinger, K. R. (2022). Ethics of AI in Education: Towards a Community-Wide Framework. International Journal of Artificial Intelligence in Education, 32(3), 504–526. https://doi.org/10.1007/s40593-021-00239-1
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Leal Sosa, V. A. (2023). Las competencias digitales como elementos fundamentales en el currículum de la educación superior. Revista Guatemalteca de Educación Superior, 6(1), 123–134. https://doi.org/10.46954/revistages.v6i1.114
Limia Fernández, M., & López García, X. (2026). automatización de la verdad: Inteligencia artificial, mediación algorítmica y disputas epistémicas en la comunicación contemporánea. Cuadernos.Info, (64), I–IX. https://doi.org/10.7764/cdi.64.105364
Luckin, R., Cukurova, M., Kent, C., & Du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3, 100076. https://doi.org/10.1016/j.caeai.2022.100076
Macias Vera, T. D., León Ramos, D. A., Guaillas Lozano, L. E., Guzmán Murillo, D. A., & Moreno Caisapanta, E. V. (2025). Inteligencia artificial en la educación física: Actividades lúdicas expresivo-comunicativas para el desarrollo integral del estudiante. MENTOR Revista de Investigación Educativa y Deportiva, 4(12), 432–447. https://doi.org/10.56200/mried.v4i12.10954
Mollick, E. R., & Mollick, L. (2023). Assigning AI: Seven Approaches for Students, with Prompts. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4475995
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. https://doi.org/10.1186/s41039-017-0062-8
Selwyn, N. (2022). The future of AI and education: Some cautionary notes. European Journal of Education, 57(4), 620–631. https://doi.org/10.1111/ejed.12532
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), 39. https://doi.org/10.1186/s41239-019-0171-0
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Copyright (c) 2026 Félix Antonio Díaz, Juan Carlos Toribio Fernández , Judith Martínez-Alonzo , Wanda Marina Román Santana
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
+593987341121 Email: rjposso@revistamentor.ec
