Integración de herramientas pedagógicas basadas en inteligencia artificial en entornos escolares: retos y oportunidades para la formación docente
DOI:
https://doi.org/10.56048/MQR20225.9.3.2025.e920Palabras clave:
Inteligencia artificial; Formación docente; Innovación educativo; Personalización del aprendizaje; Herramientas pedagógicasResumen
Este artículo examina la integración de integración de herramientas pedagógicas basadas en inteligencia artificial en entornos escolares: retos y oportunidades para la formación docente. Se propone un marco de adopción por fases que contempla diagnóstico, pilotos, escalamiento y evaluación continua. La metodología una revisión bibliográfica en bases de datos Scopus, Web of Science y EBSCOhost y Taylor And Francis y un estudio de campo, a través de aplicación de encuestas a 50 docentes de educación básica de diferentes instituciones de la Ciudad de Machala. Este estudio permite personalizar el aprendizaje, optimizar la evaluación y potenciar la innovación educativa. El uso de herramientas digitales afianza el rol docente, exigiendo nuevas competencias digitales y éticas para una implementación efectiva. Esto implica que la formación docente debe adaptarse, incorporando estrategias y habilidades que garanticen un uso responsable y coherente con los objetivos educativos, dirigido a fortalecer las buenas prácticas en el proceso enseñanza aprendizaje en el aula.
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Balalle, H., & Cope, B. (2025). Reassessing academic integrity in the age of AI. Discover Education, 4(1), 12–28. ISSN: 2731-4532. DOI: N/D
Dilek, M., Yilmaz, R., & Kurt, A. A. (2025). AI literacy in teacher education. Journal of Teacher Education, 76(2), 245–263. ISSN: 0022-4871.
Copur Gencturk, Y., Tan, M., & Li, A. (2024). Improving teaching at scale: Can AI be incorporated into teachers’ professional learning? American Educational Research Journal, 61(6), 2270–2310. ISSN: 1935-1011. https://doi.org/10.3102/00028312241248514
Duan, H., & Zhao, W. (2024). The effects of educational artificial intelligence-powered applications on teachers’ perceived autonomy, professional development for online teaching, and digital burnout. International Review of Research in Open and Distributed Learning, 25(3), 57–76. ISSN: 1492-3831. https://doi.org/10.19173/irrodl.v25i3.7659
García, L. M., Torres, P. J., & Ramírez, C. F. (2023). Integración de inteligencia artificial en la educación: oportunidades y desafíos para la formación docente. Revista Iberoamericana de Tecnología Educativa, 18(2), 45-60. ISSN: 2386-1650. https://doi.org/10.26754/ojs_ried/iate.202318245
Tan, X., Tan, X. J., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers & Education: Artificial Intelligence, 8, 100355. ISSN: 2666-920X. https://doi.org/10.1016/j.caeai.2024.100355
Sperling, K., Hoel, T., & Mørch, A. I. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education: X Reality, 5, 100110. ISSN: 2666-5573.
Wang, S., Xie, S., & Guo, W. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 245, 123153. ISSN: 0957-4174.
Paolucci, C., Caldeira, A., & Zaza, C. (2024). A review of learning analytics opportunities and challenges in higher education. Education Sciences, 14(2), 123. ISSN: 2227-7102.
Rundquist, R., & Hemmi, A. (2024). Use of learning analytics in K–12 mathematics education: A scoping review. Journal of Learning Analytics, 11(1), 67–95. ISSN: 1929-7750.
Hesse, F., & Shanahan, M.-C. (2025). Writing with AI in and beyond teacher education. European Journal of Teacher Education, 48(3), 345–362. ISSN: 1469-5928.
Chiu, T. K. F. (2024). The impact of Generative AI on practices, policies and research in school education. Interactive Learning Environments, 32(10), 1801–1820. ISSN: 1049-4820. https://doi.org/10.1080/10494820.2023.2253861
Haroud, S., Belkouch, S., & Kaddar, M. (2025). Generative AI in higher education: Teachers’ and students’ perspectives. Education Sciences, 15(4), 396. ISSN: 2227-7102.
Cheah, Y. H., Chai, C. S., & otros. (2025). Integrating generative artificial intelligence in K–12 education: Preparedness, practices and barriers. Computers & Education: Artificial Intelligence, 8, 1003xx. ISSN: 2666-920X. DOI: N/D
Henderson, M., Ryan, T., & Phillips, M. (2025). Comparing generative AI and teacher feedback in assessment. Assessment & Evaluation in Higher Education, 50(5), 612–629. ISSN: 0260-2938.
Chiu, T. K. F. (2024). The impact of Generative AI (GenAI) on practices, policies and research direction in education: A case of ChatGPT and Midjourney. Interactive Learning Environments, 32(10), 6187–6203. ISSN: 1744-5191. https://doi.org/10.1080/10494820.2023.2253861
Kohnke, L., Zou, D., & Zhang, R. (2025). Preparing future educators for AI‑enhanced classrooms. Computers & Education: Artificial Intelligence, 8, 1003xx. ISSN: 2666-920X.
Huang, L. (2023). Ethics of artificial intelligence in education: Student privacy and data protection. Science Insights Education Frontiers, 16(2), 2577–2587. ISSN: 2662-2342. https://doi.org/10.15354/sief.23.re202
Kizilcec, R. F., Huber, E., Papanastasiou, E. C., Cram, A., Makridis, C. A., Smolansky, A., Zeivots, S., & Raduescu, C. (2024). Perceived impact of generative AI on assessments: Comparing educator and student perspectives in Australia, Cyprus, and the United States. Computers & Education: Artificial Intelligence, 7, 100269. ISSN: 2666-920X. https://doi.org/10.1016/j.caeai.2024.100269
Luo, J., Yang, Q., Peng, W., & Goh, P. S. (2024). A critical review of GenAI policies in higher education: Implications for assessment and academic integrity. Assessment & Evaluation in Higher Education, 49(12), 2107–2126. ISSN: 0260-2938. https://doi.org/10.1080/02602938.2024.2309963
Mohseni, Z., Viberg, O., & Hatakka, M. (2024). Visual learning analytics for educational interventions in K–12. Journal of Learning Analytics, 11(2), 1–24. ISSN: 1929-7750.
Molla‑Esparza, C., Muñoz‑Merino, P. J., & Delgado Kloos, C. (2025). Applications of learning analytics in academic performance: A meta‑review protocol. Discover Education, 4(1), 100123. ISSN: 2731-4532. DOI: N/D
Zhai, X. (2024). Teachers’ roles and agency in the age of generative AI. arXiv preprint arXiv:2410.03018.
Moorhouse, B. L., & Kohnke, L. (2024). The effects of generative AI on initial language teacher education: The perceptions of teacher educators. System, 122, 103290. ISSN: 0346-251X. https://doi.org/10.1016/j.system.2024.103290
Moorhouse, B. L., Wan, Y., Wu, C., Kohnke, L., Ho, T. Y., & Kwong, T. (2024). Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course. System, 125, 103399. ISSN: 0346-251X. https://doi.org/10.1016/j.system.2024.103399
Denny, P., & al. (2024). Computing education in the era of generative AI. Communications of the ACM, 67(1), 30–33. ISSN: 0001-0782. DOI: N/D
Karataş, F., & others. (2024). AI and the future of teaching: Preservice teachers’ narratives. International Review of Research in Open and Distributed Learning, 25(3), 100–120. ISSN: 1492-3831.
Sperling, K., Stenberg, C.-J., McGrath, C., & Åkerfeldt, A. (2024). In search of artificial intelligence (AI) literacy in Teacher Education: A scoping review. Computers & Education Open, 6, 100169. ISSN: 2666-5573. https://doi.org/10.1016/j.caeo.2024.100169
Rundquist, R., Holmberg, K., Rack, J., Mohseni, Z., & Masiello, I. (2024). Use of learning analytics in K–12 mathematics education: Systematic scoping review of the impact on teaching and learning. Journal of Learning Analytics, 11(3), 174–191. ISSN: 1929-7750. https://doi.org/10.18608/jla.2024.8299
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