The impact of artificial intelligence on the interest in learning among Telesecundaria students

Authors

DOI:

https://doi.org/10.62697/rmiie.v5i2.334

Keywords:

Artificial intelligence, technological education, teacher training, educational technology

Abstract

Artificial intelligence (AI) is transforming teaching and learning processes, and in the context of Telesecundarias (distance learning secondary schools), where limitations of resources, connectivity, and time persist, it is presented as a tool capable of energizing classes and capturing the interest of students; this article presents the results of surveys applied to students and teachers, analyzes advantages such as time savings, personalization of learning, and access to digital resources, as well as risks linked to technological dependence, the loss of pedagogical autonomy, and the reproduction of algorithmic biases, and proposes concrete strategies to strengthen motivation and youth participation; Based on a literature review of academic and institutional sources and recent experiences, this paper reflects on how teachers incorporate AI into planning, materials development, evaluation, and feedback. It concludes that its integration must be guided by sound pedagogical principles, critical training, and public policies that guarantee equity and educational rights, recognizing the teacher as an ethical and creative mediator who ensures that technology complements and enhances teaching towards a more humane, inclusive, and transformative education. Using a documentary methodology, scientific articles, international reports, and national and international case studies were reviewed with the aim of identifying the main challenges, opportunities, and guidelines for an ethical and pedagogical integration of AI in education.

Downloads

Download data is not yet available.

References

Álvarez-Sepúlveda, H. (2023). La inteligencia artificial como catalizador en la enseñanza de la historia: Retos y posibilidades pedagógicas. Revista Tecnológica-Educativa Docentes 2.0, 16(2), 318–325. https://doi.org/10.37843/rted.v16i2.426

Arias, F. G. (2012). El proyecto de investigación: Introducción a la metodología científica (6.ª ed.). Episteme.

Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta Foundation. https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf

Baute-Rosales, M., Espinosa-Soria, M. J., Soler-McCook, J. M., & Chávez-Cárdenas, M. d. C. (2026). Las tecnologías disruptivas: vía para la transformación del aprendizaje. Sophia Editions.

Bolaño-García, M., & Duarte-Acosta, N. (2024). Una revisión sistemática del uso de la inteligencia artificial en la educación. Revista Colombiana de Cirugía, 39(1), 51-63. https://doi.org/10.30944/20117582.2365

De León-Ricardi, C. A., Mercado-Ruiz, A. A., & Villeda Villafaña, O. A. (2023). Escala de motivación académica para estudiantes universitarios en educación en línea: Construcción y validación. Revista Digital Internacional de Psicología y Ciencia Social, 9(1). https://cuved.unam.mx/rdipycs/wp-content/uploads/2023/04/ESCALA1.pdf

Jandette-Castillo, N. M., & Ruiz-Maturano, E. S. (2024). El aprendizaje automático con el uso de las Tecnologías de la Información y las Comunicaciones. Sophia Research Review, 1(1), 15-19. https://doi.org/10.64092/hxw9g912

Organización de Estados Iberoamericanos para la Educación, la Ciencia y la Cultura. (2024). Inteligencia artificial en la educación Desarrollo y aplicaciones. https://oei.int/wp-content/uploads/2025/04/desarrollo-ia-educacion-7.pdf

Sattari-Ardabili, F., & de Hoyos-Guevara, A. J. (2026). Artifi-cial intelligence in scientific research: an analysis from the ethics and responsibility perspective. Sophia Re-search Review, 3(1), 50-56. https://doi.org/10.64092/6qseba44

Yusuf, A., Pervin, N., & Román-González, M. (2024). Generative AI and the future of higher education: A threat to academic integrity or reformation? Evidence from multicultural perspectives. International Journal of Educational Technology in Higher Education, 21. https://doi.org/10.1186/s41239-024-00453-6

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, 39. https://doi.org/10.1186/s41239-019-0171-0

Downloads

Published

2026-04-01

How to Cite

Cruz-Calva, N. C. (2026). The impact of artificial intelligence on the interest in learning among Telesecundaria students. Revista Mexicana De Investigación E Intervención Educativa, 5(2), 192–198. https://doi.org/10.62697/rmiie.v5i2.334

Issue

Vol. 5 No. 2 (2026): Innovación educativa y desafíos contemporáneos para la inclusión y el desarrollo integral (abril-junio)

Section

Artículos

License

Copyright (c) 2026 Nadia Carolina Cruz-Calva

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors who publish in Revista Mexicana de Investigación e Intervención Educativa (RMIIE), of Universidad Pablo Latapí Sarre agree to the following terms:

1. Copyright

Authors retain unrestricted copyright to their work. Authors grant the journal the right of first publication. To this end, they assign the journal non-exclusive exploitation rights (reproduction, distribution, public communication, and transformation). Authors may enter into additional agreements for the non-exclusive distribution of the version of the work published in the journal, provided that acknowledgment of its initial publication in this journal is given.

© The authors.

2. License

The articles are published in the journal under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). The terms can be found at: https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en

This license allows:

  • Sharing: Copying and redistributing the material in any medium or format.
  • Adapting: Remixing, transforming, and building upon the material.

Under the following terms:

  • Attribution: You must give appropriate credit, provide a link to the license, and indicate if any changes were made. You may do this in any reasonable manner, but not in any way that suggests the licensor endorses or sponsors your use.
  • NonCommercial: You may not use the material for commercial purposes.
  • ShareAlike: If you remix, transform, or build upon the material, you must distribute your creation under the same license as the original work.

There are no additional restrictions. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.