Artificial intelligence in educational planning: A new tool for teachers

Authors

DOI:

https://doi.org/10.62697/rmiie.v4i3.235

Keywords:

Artificial intelligence, teachers, educational planning

Abstract

This article explores the potential of artificial intelligence (AI) in lesson planning by primary school teachers within the context of the New Mexican School. The COVID-19 pandemic accelerated the use of digital tools, prompting teachers to adopt platforms such as YouTube, Classroom, and Zoom. However, although these technologies facilitated teaching, the question arises about the teacher’s relevance in a digital environment. This study reaffirms the indispensable role of the teacher in fostering critical and creative thinking. Using a qualitative approach, teachers from Hidalgo, Puebla and the State of Mexico were interviewed to explore their experiences with AI tools such as Canva, ChatGPT, and Gemini. The results show that 33.3% of respondents consider AI "very useful" for lesson planning, while 66.7% find it "somewhat useful." However, all expressed an interest in learning more, noting the lack of specific ongoing training as a barrier. The study concludes that, despite the challenges, artificial intelligence has the potential to optimize teaching and personalize learning. However, to achieve effective integration, it is essential to offer accessible training programs that foster technological innovation. The research suggests that AI can transform education if it is accompanied by changes in teaching practices and greater collaboration between researchers and educators.

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References

Acosta-Servín, S., Veytia-Bucheli, M. G., & Cáceres-Mesa, M. L. (2025). Innovar en la práctica docente. Desarrollo de competencias digitales en la Licenciatura. Sophia Editions.

Benavides, C., & Ruíz, A. (2022). El pensamiento crítico en el ámbito educativo: Una revisión sistemática. Revista Innova Educación, 4(2), 62-79. https://dialnet.unirioja.es/descarga/articulo/8245583.pdf

Casimiro-Urcos, W. H., Casimiro-Urcos, C. N., Quinteros-Osorio, R. O., Tello-Conde, A. R., & Casimiro-Guerra, G. (2025). Docentes conectados: Evaluando las competencias digitales en la Educación Superior. Sophia Editions.

Gangotena Echeverría , G. S., Yuctor Álvarez, A. F., Arias Espinosa, M. J., López Aguayo, E. M., & Luna Rodríguez, P. M. (2023). Recursos digitales con Inteligencia Artificial para mejorar el Aprendizaje de los Estudiantes de Primaria. Ciencia Latina Revista Científica Multidisciplinar, 7(4), 1463-1481. https://doi.org/10.37811/cl_rcm.v7i4.6967

México. Secretaría de Educación Pública. (2022). Plan de estudios para la educación preescolar, primaria y secundaria. https://educacionbasica.sep.gob.mx/wp-content/uploads/2024/06/Plan-de-Estudio-ISBN-ELECTRONICO.pdf

Montiel-Ruiz, F. J., & López Ruiz, M. (2023). Inteligencia artificial como recurso docente en un colegio rural agrupado. RiiTE Revista interuniversitaria de investigación en Tecnología Educativa, (15), 28–40. https://doi.org/10.6018/riite.592031

Moreno Padilla, R. D. (2019). La llegada de la inteligencia artificial a la educación. Revista De Investigación En Tecnologías De La Información, 7(14), 260–270. https://doi.org/10.36825/RITI.07.14.022

Pitluk, L. (2006). La Planeación Didáctica en el Jardín de Infantes. Homosapiens.

Riera-Pesántez, F. M. (2024). Menos burocracia, más enseñanza: El impacto de la inteligencia artificial en la carga administrativa de los docentes. Revista Científica De Ciencias Humanas Y Sociales RECIHYS, 2(3), 45-52. https://doi.org/10.24133/recihys.v2.i3.3785

Taylor, S. J., & Bogdan, R. (1984). La observación participante en el campo. Paidos.

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Published

2025-08-29

How to Cite

Bautista-López, R. (2025). Artificial intelligence in educational planning: A new tool for teachers. Revista Mexicana De Investigación E Intervención Educativa, 4(3), 209–215. https://doi.org/10.62697/rmiie.v4i3.235

Issue

Vol. 4 No. 3 (2025): Innovación, inclusión y tecnología: Nuevos horizontes para la transformación educativa

Section

Artículos

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Copyright (c) 2025 Roberto Bautista-López

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