
Generative artificial intelligence (GAI) is revolutionizing education, transforming teaching, learning and redefining pedagogical methods. This research analyzes how IAG impacts the teaching and cognitive development of students, and its potential in vocational technical education. Using a mixed approach and exploratory design, data were collected through surveys and a focus group with polytechnic teachers. The results show that teachers value IAG as a tool to personalize and enrich learning, adapting to the needs of students. However, the lack of specialized training and limited institutional support stand out as challenges. Ethical concerns also arise, such as the dehumanization of the educational process and excessive technological dependence, which could limit students’ critical capacity and problem-solving autonomy. In addition, they point out the risk that AI generates misinformation, underlining the need for rigorous control in its use. They conclude that the IAG can be an ally in professional technical education, as long as adequate training of teachers and awareness of its critical and ethical use is guaranteed. It is recommended to develop educational policies and training programs for their effective integration.
Aveiga Casanova, A., Pallo Sinchiguano, M., Chipugsi Caiza, S., & Parreño Olmos, A. (2024). Integración del aprendizaje basado en problemas, gamificación e inteligencia artificial como estrategia didáctica para el desarrollo de competencias en estudiantes de primaria y secundaria. Polo del Conocimiento, 9(11), 1423-1443. https://doi.org/10.23857/pc.v9i11.8390
Castillo Herrera, M. E. (2023). Impacto de la inteligencia artificial en el proceso de enseñanza y aprendizaje en la educación secundaria: Impact of artificial intelligence on the teaching and learning process in secondary education. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 4(6), 515 – 530. https://doi.org/10.56712/latam.v4i6.1459
González, L. A. O., Baren, C. Y. O., & Zapata, E. J. P. (2023). El impacto de la inteligencia artificial en el ámbito educativo. Revista Científica FIPCAEC (Fomento de la investigación y publicación científico-técnica multidisciplinaria). Polo de Capacitación, Investigación y Publicación (POCAIP), 8(3), 342-354.
Lindín, C. (2024). Inteligencia artificial: Tensiones educativas entre la verdad y la verosimilitud de los datos. Digital Education Review, (45), 20-28.
Martínez-Comesaña, M., Rigueira-Díaz, X., Larrañaga-Janeiro, A., Martínez-Torres, J., Ocarranza-Prado, I., & Kreibel, D. (2023). Impacto de la inteligencia artificial en los métodos de evaluación en la educación primaria y secundaria: revisión sistemática de la literatura. Revista de Psicodidáctica.
Peña, V. R. G., Marcillo, A. B. M., & Ramírez, J. A. Á. (2020). La inteligencia artificial en la educación. Dominio de las Ciencias, 6(3), 28.
Pérezchica-Vega, J. E., Sepúlveda-Rodríguez, J. A., & Román-Méndez, A. D. (2024). Inteligencia Artificial Generativa en la educación superior: usos y opiniones de los profesores. European Public & Social Innovation Review, 9, 1–20. https://doi.org/10.31637/epsir-2024-593
United Nations Educational, Scientific and Cultural Organization. (2019). International conference on Artificial intelligence and Education, Planning education in the AI Era: Lead the leap: final report. https://unesdoc.unesco.org/ark:/48223/pf0000370967
Van Vaerenbergh, S. (2024). Inteligencia artificial para potenciar la creatividad y la innovación educativa. Revista INFAD De Psicología. International Journal of Developmental and Educational Psychology, 1(1), 507–513. https://doi.org/10.17060/ijodaep.2024.n1.v1.2644