Inteligencia artificial generativa y pensamiento crítico en la educación superior: implicaciones éticas, académicas y sociales

Authors

Keywords:

inteligencia artificial generativa, pensamiento crítico, educación superior, ética académica, alfabetización digital

Abstract

La finalidad de la presente investigación fue el estudio de la relación entre el uso de inteligencia artificial generativa y el pensamiento crítico en los estudiantes de educación superior; en este sentido se abordaron los aspectos éticos, académicos y sociales implicados. Fue un estudio de tipo cuantitativo, no experimental, transversal, de tipo descriptivo-correlacional. La muestra estuvo conformada por 185 estudiantes universitarios seleccionados mediante muestreo no probabilístico por conveniencia. Se utilizó para la investigación un cuestionario adecuado y con escala tipo Likert estructurada, de 28 ítems, organizadas en 4 dimensiones: uso académico de IA generativa, pensamiento crítico, percepción ética e implicaciones sociales. Se obtuvo un Alfa de Cronbach para el coeficiente de confiabilidad general del instrumento de 0,88. Entre los resultados se encontró que el 65,4 % de los estudiantes utilizaban IA generativa diaria o semanalmente a la hora de escribir borradores, buscar información inicial y organizar ideas. Asimismo, se logró motivar una correlación positiva moderada entre el uso académico de IA generativa y el pensamiento crítico (rho = 0,46; p < 0,01); así como entre el pensamiento crítico y la percepción ética (rho = 0,52; p < 0,01). La IA generativa puede fomentar el aprendizaje universitario desde el momento en que se use de una forma reflexiva, ética o pedagógicamente orientada.

References

Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152

Andreucci-Annunziata, P., Riedemann, A., Cortés, S., Mellado, A., del Río, M. T., & Vega-Muñoz, A. (2023). Conceptualizations and instructional strategies on critical thinking in higher education: A systematic review of systematic reviews. Frontiers in Education, 8, 1141686. https://doi.org/10.3389/feduc.2023.1141686

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. Journal of AI, 7(1), 52–62. https://doi.org/10.2139/ssrn.4337484

Bellaera, L., Weinstein-Jones, Y., Ilie, S., & Baker, S. T. (2021). Critical thinking in practice: The priorities and practices of instructors teaching in higher education. Thinking Skills and Creativity, 41, 100856. https://doi.org/10.1016/j.tsc.2021.100856

Bezanilla, M. J., Fernández-Nogueira, D., Poblete, M., & Galindo-Domínguez, H. (2019). Methodologies for teaching-learning critical thinking in higher education: The teacher’s view. Thinking Skills and Creativity, 33, 100584. https://doi.org/10.1016/j.tsc.2019.100584

Bittle, K., & El-Gayar, O. (2025). Generative AI and academic integrity in higher education: A systematic review and research agenda. Information, 16(4), 296. https://doi.org/10.3390/info16040296

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20, 43. https://doi.org/10.1186/s41239-023-00411-8

Crompton, H., Burke, D., Nickel, C., et al. (2026). Governing generative AI in higher education: A global Delphi study on policy and practice. International Journal of Educational Technology in Higher Education, 23, 21. https://doi.org/10.1186/s41239-026-00602-z

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148

Dotan, R., Parker, L. S., & Radzilowicz, J. G. (2024). Responsible adoption of generative AI in higher education: Developing a “points to consider” approach based on faculty perspectives. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. https://doi.org/10.1145/3630106.3659023

Eaton, S. E. (2023). Postplagiarism: Transdisciplinary ethics and integrity in the age of artificial intelligence and neurotechnology. International Journal for Educational Integrity, 19, 23. https://doi.org/10.1007/s40979-023-00144-1

Farazouli, A., Cerratto-Pargman, T., Bolander-Laksov, K., & McGrath, C. (2024). Hello GPT! Goodbye home examination? An exploratory study of AI chatbots’ impact on university teachers’ assessment practices. Assessment & Evaluation in Higher Education, 49(3), 363–375. https://doi.org/10.1080/02602938.2023.2241676

Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1

Francis, N. J., Jones, S., & Smith, D. P. (2025). Generative AI in higher education: Balancing innovation and integrity. British Journal of Biomedical Science, 81, 14048. https://doi.org/10.3389/bjbs.2024.14048

Furze, L., Perkins, M., Roe, J., & MacVaugh, J. (2024). The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI-supported assessment. Australasian Journal of Educational Technology, 40(4), 38–55. https://doi.org/10.14742/ajet.9434

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, 504–526. https://doi.org/10.1007/s40593-021-00239-1

Jin, Y., Yan, L., Echeverria, V., Gašević, D., & Martinez-Maldonado, R. (2025). Generative AI in higher education: A global perspective of institutional adoption policies and guidelines. Computers and Education: Artificial Intelligence, 8, 100348. https://doi.org/10.1016/j.caeai.2024.100348

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1, 389–399. https://doi.org/10.1038/s42256-019-0088-2

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., & 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

Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727

Moorhouse, B. L., Yeo, M. A., & Wan, Y. W. (2023). Generative AI tools and assessment: Guidelines of the world’s top-ranking universities. Computers and Education Open, 5, 100151. https://doi.org/10.1016/j.caeo.2023.100151

Nasr, N. R., Tu, C. H., Werner, J., Bauer, T., Yen, C. J., & Sujo-Montes, L. (2025). Exploring the impact of generative AI ChatGPT on critical thinking in higher education: Passive AI-directed use or human–AI supported collaboration? Education Sciences, 15(9), 1198. https://doi.org/10.3390/educsci15091198

Rizun, N., Bordean, O. N., Nikiforova, A., Beleiu, I. N., & Revina, A. (2026). Generative AI in higher education: Ethical and behavioral factors influencing students’ intentions to use ChatGPT. Computers and Education Open, 9, 100336. https://doi.org/10.1016/j.caeo.2026.100336

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Published

2026-07-08

How to Cite

Ajhuacho Pinaya, I. R., Chambi Condori, S., Gutiérrez Peña, W. I., & Gutiérrez Rodríguez, W. Ángel. (2026). Inteligencia artificial generativa y pensamiento crítico en la educación superior: implicaciones éticas, académicas y sociales. Revista Multidisciplinaria Perspectiva Científica, 3(1), 1-22. https://rmpc.editorialgutierrez.com/index.php/rmpc/article/view/8

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