Uso pedagógico de la inteligencia artificial generativa y desarrollo del pensamiento crítico en estudiantes universitarios
DOI:
https://doi.org/10.55204/pcc.v6i2.e175Keywords:
inteligencia artificial generativa; pensamiento crítico; educación superior; autonomía intelectual; mediación pedagógica.Abstract
La incorporación de la inteligencia artificial generativa en la educación superior plantea nuevas oportunidades y desafíos para el desarrollo del pensamiento crítico en estudiantes universitarios. El objetivo de esta investigación fue analizar la relación entre el uso pedagógico de estas tecnologías y el fortalecimiento de habilidades cognitivas vinculadas con el análisis, la argumentación, la reflexión y la autonomía intelectual. Se desarrolló una revisión sistematizada de la literatura científica, con enfoque cualitativo y alcance descriptivo-analítico, siguiendo las orientaciones de PRISMA 2020. La síntesis temática de las investigaciones examinadas permitió identificar cuatro dimensiones fundamentales: desarrollo de habilidades cognitivas, mediación pedagógica, dependencia tecnológica y autorregulación del aprendizaje. Los hallazgos sugieren que la inteligencia artificial generativa puede favorecer el pensamiento crítico cuando se utiliza para contrastar información, evaluar argumentos y construir conocimientos propios. Sin embargo, su uso pasivo puede incrementar la dependencia tecnológica y reducir el esfuerzo cognitivo. Se concluye que su potencial educativo depende de una integración pedagógica intencional que preserve el protagonismo intelectual del estudiante y promueva aprendizajes reflexivos, autónomos y responsables en contextos universitarios contemporáneos.
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References
Alghamdi, A. A. (2025). University students’ perceptions of generative AI for critical thinking and creativity: The influence of self-efficacy and disciplinary differences. Innovations in Education and Teaching International. https://doi.org/10.1080/14703297.2025.2600476 DOI: https://doi.org/10.1080/14703297.2025.2600476
Anwar, N. (2025). The use of generative artificial intelligence to develop student research, critical thinking, and problem-solving skills. Trends in Higher Education, 4(3), 34. https://doi.org/10.3390/higheredu4030034 DOI: https://doi.org/10.3390/higheredu4030034
Chen, S., & Cheung, A. C. K. (2025). Effect of generative artificial intelligence on university students learning outcomes: A systematic review and meta-analysis. Educational Review, 100737. https://doi.org/10.1016/j.edurev.2025.100737 DOI: https://doi.org/10.1016/j.edurev.2025.100737
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20, 22. https://doi.org/10.1186/s41239-023-00392-8 DOI: https://doi.org/10.1186/s41239-023-00392-8
Daniel, K., Msambwa, M. M., & Wen, Z. (2025). Can generative AI revolutionise academic skills development in higher education? A systematic literature review. European Journal of Education, 60, e70036. https://doi.org/10.1111/ejed.70036 DOI: https://doi.org/10.1111/ejed.70036
Deng, R., Jiang, M., Yu, X., Lu, Y., & Liu, S. (2025). Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies. Computers & Education, 227, 105224. https://doi.org/10.1016/j.compedu.2024.105224 DOI: https://doi.org/10.1016/j.compedu.2024.105224
Essel, H. B., Vlachopoulos, D., Essuman, A. B., & Amankwa, J. O. (2024). ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs). Computers and Education: Artificial Intelligence, 6, 100198. https://doi.org/10.1016/j.caeai.2023.100198 DOI: https://doi.org/10.1016/j.caeai.2023.100198
Helal, M. Y. I., Elgendy, I. A., Albashrawi, M. A., & Dwivedi, Y. K. (2025). The impact of generative AI on critical thinking skills: A systematic review, conceptual framework and future research directions. Information Discovery and Delivery. https://doi.org/10.1108/IDD-05-2025-0125 DOI: https://doi.org/10.1108/IDD-05-2025-0125
Hou, C., Zhu, G., & Sudarshan, V. (2025). The role of critical thinking on undergraduates’ reliance behaviours on generative AI in problem-solving. British Journal of Educational Technology, 56, 1919–1941. https://doi.org/10.1111/bjet.13613 DOI: https://doi.org/10.1111/bjet.13613
Liu, J., Sihes, A. J. B., & Lu, Y. (2025). How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review. Smart Learning Environments, 12, 48. https://doi.org/10.1186/s40561-025-00406-0 DOI: https://doi.org/10.1186/s40561-025-00406-0
Oliva-Córdova, L. M., Álvarez-Icaza, I., & George-Reyes, C. E. (2025). Evaluation of generative AI use to foster critical thinking in higher education. IEEE Revista Iberoamericana de Tecnologías del Aprendizaje. https://doi.org/10.1109/RITA.2025.3597848 DOI: https://doi.org/10.1109/RITA.2025.3597848
Patrick, P. M., Yip, S. Y., & Campbell, C. (2025). Artificial intelligence and higher-order thinking: A systematic review of educator and student experiences and perspectives in higher education. Higher Education Quarterly, 79(4), e70069. https://doi.org/10.1111/hequ.70069 DOI: https://doi.org/10.1111/hequ.70069
Roy, B. K., & Jony, M. S. (2026). Generative AI and critical thinking in higher education: Students’ narratives of cognitive offloading. Journal of Interdisciplinary Studies in Education. https://doi.org/10.32674/jey59q25 DOI: https://doi.org/10.32674/jey59q25
Sardi, J., Darmansyah, Candra, O., Yuliana, D. F., Habibullah, Yanto, D. T. P., & Eliza, F. (2025). How generative AI influences students’ self-regulated learning and critical thinking skills? A systematic review. International Journal of Engineering Pedagogy, 15(1), 94–108. https://doi.org/10.3991/ijep.v15i1.53379 DOI: https://doi.org/10.3991/ijep.v15i1.53379
Urban, M., Děchtěrenko, F., Lukavský, J., Hrabalová, V., Svacha, F., Brom, C., & Urban, K. (2024). ChatGPT improves creative problem-solving performance in university students: An experimental study. Computers & Education, 215, 105031. https://doi.org/10.1016/j.compedu.2024.105031 DOI: https://doi.org/10.1016/j.compedu.2024.105031
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