Percepciones docentes sobre la integración de la IA en la planificación curricular
DOI:
https://doi.org/10.70625/rlce/990Palabras clave:
Percepción docente, Inteligencia artificial, Planificación curricular, Formación profesionalResumen
El estudio tuvo como objetivo analizar las percepciones docentes sobre la integración de la inteligencia artificial en la planificación curricular en tres instituciones educativas de la Zona 5. Se desarrolló bajo un enfoque cuantitativo, con alcance descriptivo, diseño no experimental y corte transversal. La población estuvo conformada por 118 docentes y la muestra por 78 participantes seleccionados mediante criterios de inclusión y exclusión. Para recopilar la información se aplicó una encuesta mediante un cuestionario de diez ítems con escala Likert de cinco opciones. Los resultados mostraron percepciones moderadamente favorables hacia la inteligencia artificial, especialmente por su utilidad para generar ideas, facilitar la elaboración de recursos, revisar contenidos y ajustar propuestas al currículo. La necesidad de fortalecer la formación profesional obtuvo la valoración positiva más elevada, mientras la confianza directa en estas herramientas presentó una tendencia más moderada. Se concluyó que los docentes reconocieron beneficios relevantes para la planificación curricular, aunque mantuvieron cautela respecto a confiabilidad, contextualización y adaptación. Se recomendó implementar procesos de formación continua y lineamientos institucionales que orienten una integración crítica, ética, responsable y pedagógicamente pertinente de la inteligencia artificial.
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Aliyyah, R., & Amalia, R. (2025). Elementary school teachers’ perception of artificial intelligence integration in curriculum management. Journal of Educational Management and Instruction (JEMIN), 5(2), 405–421. https://doi.org/10.22515/jemin.v5i2.12003
Ayanwale, M. A., Ntshangase, S. D., Adelana, O. P., Afolabi, K. W., Adam, U. A., & Olatunbosun, S. O. (2024). Navigating the future: Exploring in-service teachers' preparedness for artificial intelligence integration into South African schools. Computers and Education: Artificial Intelligence, 7, 100330. https://doi.org/10.1016/j.caeai.2024.100330
Ayanwale, M. A., Sanusi, I. T., Adelana, O. P., Aruleba, K. D., & Oyelere, S. S. (2022). Teachers’ readiness and intention to teach artificial intelligence in schools. Computers and Education: Artificial Intelligence, 3, 100099. https://doi.org/10.1016/j.caeai.2022.100099
Bustamante Morán, N. Y., Lema Cusquillo, E. J., Andrade Santander, K. M., León Vera, M. A., & Velásquez Cambell, D. C. (2025). Percepción de los docentes sobre la integración de la inteligencia artificial en los procesos de enseñanza y aprendizaje. Ciencia Latina Revista Científica Multidisciplinar, 9(2), 6481–6494. https://doi.org/10.37811/cl_rcm.v9i2.17382
Cabero-Almenara, J., Palacios-Rodríguez, A., Loaiza-Aguirre, M. I., & Rivas-Manzano, M. d. R. d. (2024). Acceptance of educational artificial intelligence by teachers and its relationship with some variables and pedagogical beliefs. Education Sciences, 14(7), 740. https://doi.org/10.3390/educsci14070740
Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468. https://doi.org/10.1016/j.chb.2022.107468
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66, 616–630. https://doi.org/10.1007/s11528-022-00715-y
Cheah, Y. H., & Kim, J. (2026). STEM teachers' perceptions, familiarity, and support needs for integrating generative artificial intelligence in K-12 education. School Science and Mathematics, 126(1), 44–59. https://doi.org/10.1111/ssm.18334
Cheah, Y. H., Lu, J., & Kim, J. (2025). Integrating generative artificial intelligence in K-12 education: Examining teachers’ preparedness, practices, and barriers. Computers and Education: Artificial Intelligence, 8, 100363. https://doi.org/10.1016/j.caeai.2025.100363
Ding, A.-C. E., Shi, L., Yang, H., & Choi, I. (2024). Enhancing teacher AI literacy and integration through different types of cases in teacher professional development. Computers and Education Open, 6, 100178. https://doi.org/10.1016/j.caeo.2024.100178
ElSayary, A., Kuhail, M. A., & Hojeij, Z. (2025). Examining the role of prompt engineering in utilizing generative AI tools for lesson planning: Insights from teachers’ experiences and perceptions. Human Behavior and Emerging Technologies, 2025(1), 9986139. https://doi.org/10.1155/hbe2/9986139
Filiz, O., Kaya, M. H., & Adiguzel, T. (2025). Teachers and AI: Understanding the factors influencing AI integration in K-12 education. Education and Information Technologies, 30, 17931–17967. https://doi.org/10.1007/s10639-025-13463-2
Kalenda, P. J., Rath, L., Heidt, M. A., & Wright, A. (2025). Pre-service teacher perceptions of ChatGPT for lesson plan generation. Journal of Educational Technology Systems, 53(3), 219–241. https://doi.org/10.1177/00472395241301388
Mikeladze, T., Meijer, P. C., & Verhoeff, R. P. (2024). A comprehensive exploration of artificial intelligence competence frameworks for educators: A critical review. European Journal of Education, 59, e12663. https://doi.org/10.1111/ejed.12663
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137–161. https://doi.org/10.1007/s11423-023-10203-6
Posso Pacheco, R. J., Arévalo Espinoza, O. M., & Chicaiza Rengel, V. M. (2025). Impact of ChatGPT on micro-curricular planning for elementary education teachers. MENTOR Revista de Investigación Educativa y Deportiva, 4(12), 1–16. https://doi.org/10.56200/mried.v4i12.10942
Sperling, K., Stenberg, C.-J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education Open, 6, 100169. https://doi.org/10.1016/j.caeo.2024.100169
Velander, J., Taiye, M. A., Otero, N., & Milrad, M. (2024). Artificial intelligence in K-12 education: Eliciting and reflecting on Swedish teachers' understanding of AI and its implications for teaching & learning. Education and Information Technologies, 29, 4085–4105. https://doi.org/10.1007/s10639-023-11990-4
Wang, X., Li, L., Tan, S. C., Yang, L., & Lei, J. (2023). Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness. Computers in Human Behavior, 146, 107798. https://doi.org/10.1016/j.chb.2023.107798
Yim, I. H. Y., & Wegerif, R. (2024). Teachers' perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students. Future in Educational Research, 2(4), 318–345. https://doi.org/10.1002/fer3.65
Yue, M., Jong, M. S.-Y., & Ng, D. T. K. (2024). Understanding K–12 teachers’ technological pedagogical content knowledge readiness and attitudes toward artificial intelligence education. Education and Information Technologies, 29, 19505–19536. https://doi.org/10.1007/s10639-024-12621-2
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Derechos de autor 2026 Luis Alexander Zamora Huacón, María Patricia Chacha Pizarro, Mayra Elizabeth Cortez Pincay, Gabriela Jazmín Fienco Barzola, Jessica María Arreaga Jiménez, Tania Yecilia de Fátima Chiriguaya Barahona (Autor/a)

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.



























