Impacto dependencia de la inteligencia artificial generativa y las  limitaciones en el pensamiento crítico

Karina Elizabeth Intriago Mejía; Ángel Alberto Matamoros Dávalos

doi:10.56200/mentor.v5i14.11708

Authors

Karina Elizabeth Intriago Mejía Universidad Estatal Península de Santa Elena, La Libertad-Ecuador https://orcid.org/0009-0001-8480-9223
Ángel Alberto Matamoros Dávalos Universidad Estatal Península de Santa Elena, Santa Elena-Ecuador

DOI:

https://doi.org/10.56200/mentor.v5i14.11708

Keywords:

Artificial Intelligence, middle school, Critical Thinking, Technological Dependence

Abstract

The expansion of Generative Artificial Intelligence in education presents both risks and benefits; in Ecuador, an empirical gap persists regarding its relationship with technological dependence and critical thinking at the secondary level. The objective of this study was to analyze the relationship between the level of dependence on Generative Artificial Intelligence and the development of critical thinking skills in tenth-grade students at Unidad Educativa Fiscal Mejía in Quito, Ecuador. The study adopted a mixed, concurrent design involving tenth-grade students and teachers; questionnaires and interviews were used to examine perceptions of GAI use, dependence, ethics, and reasoning through descriptive statistics and thematic analysis. The results indicate a high frequency of GAI use, predominantly for academic purposes, perceptions of dependence and cognitive risks, student–teacher discrepancies, and student ethical neutrality, as evidenced through questionnaires, interviews, and triangulation. It is concluded that GAI is normalized in school practices, with divergent perceptions regarding dependence, reasoning, and ethics, reflecting tensions in authorship and academic use, consistent with the stated research objective.

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Author Biographies

Karina Elizabeth Intriago Mejía , Universidad Estatal Península de Santa Elena, La Libertad-Ecuador

Universidad Estatal Península de Santa Elena, La Libertad-Ecuador

Ángel Alberto Matamoros Dávalos , Universidad Estatal Península de Santa Elena, Santa Elena-Ecuador

Universidad Estatal Península de Santa Elena, Santa Elena-Ecuador

References

Alpizar Garrido, L. O., & Martínez Ruiz, H. (2024). Perspectiva de estudiantes de nivel medio superior respecto al uso de la inteligencia artificial en su aprendizaje. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo, 14(28), 1–29. https://doi.org/10.23913/ride.v14i28.1830

Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman.

Ausubel, D. P. (1968). Educational psychology: A cognitive view. Holt, Rinehart & Winston.

Baskara, F. R. (2023). Chatbots and flipped learning: Improving student engagement and learning outcomes through personalized support and collaboration. International Journal of Recent Educational Research, 4(2), 223–238. https://doi.org/10.46245/ijorer.v4i2.331

Çela, E., Fonkam, M. M., & Potluri, R. M. (2024). Risks of AI-assisted learning on students’ critical thinking: A case study from Albania. International Journal of Risk and Contingency Management, 12(1), 1–19. https://doi.org/10.4018/IJRCM.350185

Correia, A., Água, P., & Lobo, V. (2024). Adaptive learning design: integrating ai to personalize critical thinking education. EDULEARN24 Proceedings, 7733–7741. https://doi.org/10.21125/edulearn.2024.1816

Del Cisne Loján, M., Romero, J. A., Sancho Aguilera, D., & Romero, A. Y. (2024). Consecuencias de la dependencia de la inteligencia artificial en habilidades críticas y aprendizaje autónomo. Ciencia Latina Revista Científica Multidisciplinar, 8(2), 2368–2382. https://doi.org/10.37811/cl_rcm.v8i2.10678

Duan, X., & Qian, Y. (2024). The impact of generative artificial intelligence tools on college students’ critical thinking and autonomous learning ability. Frontiers of Education in china, 19(1), 1–28. https://doi.org/10.3868/s110-020-025-0021-0

Facione, P. A. (2020). Critical thinking: What it is and why it counts. Insight Assessment. https://insightassessment.com/iaresource/critical-thinking-what-it-is-and-why-it-counts/

Flores-Vivar, J. M., & García-Peñalvo, F. J. (2023). Reflections on ethics, potentialities, and challenges of artificial intelligence in quality education (SDG4). Comunicar, 74(1), 31–40. https://doi.org/10.3916/C74-2023-03

García-Peñalvo, F. J. (2024). Generative artificial intelligence and education: A multi-perspective analysis. Education in the Knowledge Society, 25, e31942. https://doi.org/10.14201/eks.31942

García Peñalvo, F. J., Llorens-Largo, F., & Vidal, J. (2024). The new educational reality in the face of advances in generative artificial intelligence. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 9–39. https://doi.org/10.5944/ried.27.1.37716

Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006

Gonçalves, C., Bravo, J., Pais, J., Abreu, A., & Raimundo, A. (2023). Improving Health Outcomes in Coronary Artery Disease Patients with Short-Term Protocols of High-Intensity Interval Training and Moderate-Intensity Continuous Training: A Community-Based Randomized Controlled Trial. Cardiovascular therapeutics, 9, 6297302. https://doi.org/10.1155/2023/6297302

Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692

Johinke, R., Cummings, R., & Di Lauro, F. (2023). Reclaiming digital writing pedagogy in a post-pandemic world. Journal of University Teaching & Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.01

Lozada Lozada, R. F., et al. (2023). Los riesgos de la inteligencia artificial en la educación. Ciencia Latina Revista Científica Multidisciplinar, 7(5), 7219–7234. https://doi.org/10.37811/cl_rcm.v7i5.8301

Moreno, L., & Pedreño, A. (2024). Inteligencia artificial, educación y pensamiento crítico: desafíos cognitivos en contextos digitalizados. Education in the Knowledge Society, 25, e31295. https://doi.org/10.14201/eks.31295

Parra-Taboada, M. E., Trujillo-Arteaga, J. C., Álvarez-Abad, D. R., Arias-Domínguez, A. S., & Santillán-Gordón, E. (2024). El impacto de la inteligencia artificial en la educación. Revista Científica Retos De La Ciencia, 1(4), 169–181. https://doi.org/10.53877/rc.8.19e.202409.14

Piaget, J. (1972). Intellectual evolution from adolescence to adulthood. Human Development, 15(1), 1–12. https://doi.org/10.1159/000271225

Prondoza, G. R., & Panoy, J. F. (2022). Development of a complementary chatbot tool. Asia-Pacific Journal of Advanced Education and Technology, 107–116. https://doi.org/10.54476/apjaet/95445

Santamaria Cedeño, E. V., Chicaiza Duran, E. M., Segura Cherrez, K. E., & Criollo Turusina, M. A. (2025). La dependencia de la tecnología en el desarrollo cognitivo en estudiantes en una institución de Quito, 2025. Ciencia y educación, 6(6.1), 117-128. https://doi.org/10.5281/zenodo.17001849

Scarfe, P., Watcham, K., Clarke, A., & Roesch, E. (2024). Testing AI infiltration in university examinations. PLoS ONE, 19(6), e0305354. https://doi.org/10.1371/journal.pone.0305354

UNESCO. (2022). Recommendation on the ethics of artificial intelligence. https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Yuk, C. K., & 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), 1–18. https://doi.org/10.1186/s41239-023-00411-8

Zhai, C., Wibowo, S., & Li, L. D. (2024). Effects of over-reliance on AI dialogue systems. Smart Learning Environments, 11, 28. https://doi.org/10.1186/s40561-024-00316-7