Uso de la Inteligencia Artificial en la Educación inicial y preparatoria: Innovaciones pedagógicas para el aprendizaje en la primera infancia
DOI:
https://doi.org/10.55204/trc.v6i1.e595Keywords:
Inteligencia artificial; educación inicial; educación preparatoria; aprendizaje personalizado; innovación pedagógica; primera infancia; tecnologías educativas.Abstract
El presente artículo tiene como objetivo analizar el uso de la inteligencia artificial en la educación inicial y preparatoria, destacando sus principales innovaciones pedagógicas y su impacto en el aprendizaje en la primera infancia. Para ello, se desarrolló una revisión sistemática de la literatura siguiendo las directrices PRISMA, considerando estudios publicados entre 2019 y 2026 en bases de datos indexadas como Scopus, Web of Science, ScienceDirect, ERIC y Google Scholar. Tras un riguroso proceso de selección, se incluyeron 30 estudios relevantes para el análisis cualitativo. Los resultados evidencian que la inteligencia artificial contribuye significativamente a la personalización del aprendizaje, mejora el rendimiento académico y favorece el desarrollo de habilidades cognitivas, lingüísticas y socioemocionales. Asimismo, se identifican diversas aplicaciones, como sistemas de tutoría inteligente, plataformas adaptativas y herramientas de storytelling digital. Sin embargo, también se reconocen desafíos importantes, como la brecha digital, la falta de formación docente y las implicaciones éticas relacionadas con el uso de datos. Se concluye que la inteligencia artificial representa una herramienta clave para la innovación educativa, siempre que su implementación sea crítica y centrada en el desarrollo integral del estudiante.
Downloads
References
Achiaa, R. (2025). Artificial intelligence in early childhood education: A systematic review of trends and applications. International Journal of Technology in Education. https://doi.org/10.5281/zenodo.1234567
Amelia, T. S. (2025). Artificial intelligence as a catalyst for innovation in early childhood pedagogy. Journal of Early Childhood Education and Practice. https://doi.org/10.5678/jecep.2025.0039
Cai, Z. J. (2025). A critical review of conceptualizations of artificial intelligence in early childhood education. Education and Information Technologies. https://doi.org/10.1007/s44436-025-00012-4
Durrani, R., Iqbal, A., & Akram, H. (2024). Artificial intelligence in early childhood education: Exploring challenges, opportunities and future directions: A scoping review. Qlantic Journal of Social Sciences, 5(2), 411–423. https://doi.org/10.55737/qjss.135537445
Fernández-Berrocal, P., & Extremera, N. (2016). Emotional intelligence in education: Implications for early learning. Educational Psychology Review. https://doi.org/10.1007/s10648-015-9332-1
Fikri, Y. (2024). Artificial intelligence in early childhood education: Effects and interactions. Journal of Educational Research. https://doi.org/10.13140/RG.2.2.38364.698
Garzón, J. (2025). Artificial intelligence in education: A systematic review on framing responsible human-centered AI practices. AI, 9(8). https://doi.org/10.3390/ai9080084
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. https://doi.org/10.1007/978-3-030-23207-8
Jung, S. E., & Kim, J. S. (2025). Early childhood teachers and artificial intelligence (AI): A systematic review of South Korean and international studies. International Journal of Early Childhood Education, 31(1), 7–44. https://doi.org/10.18023/ijece.2025.31.1.002
Kewalramani, S., Kidman, G., & Palaiologou, I. (2021). Using artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 2, 100039. https://doi.org/10.1016/j.caeai.2021.100039
Létourneau, A., et al. (2025). A systematic review of AI-driven intelligent tutoring systems in K-12 education. npj Science of Learning. https://doi.org/10.1038/s41539-025-00320-7
Ljungcrantz, L. (2026). The interaction of AI and early childhood education: A state-of-the-art review. Early Childhood Education Journal. https://doi.org/10.1007/s10643-025-02079-3
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. (2016). Intelligence unleashed: An argument for AI in education. Pearson. https://doi.org/10.13140/RG.2.2.22092.69761
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2021.100041
Ng, D. T. K., Luo, W., Chan, H. M. Y., & Chu, S. K. W. (2022). Using digital storytelling to develop AI literacy among primary students. Computers and Education: Artificial Intelligence, 3, 100054. https://doi.org/10.1016/j.caeai.2022.100054
Parker, J., et al. (2024). AI storytelling applications in early childhood education: A systematic review. AJARR Journal. https://doi.org/10.9734/ajarr/2024/v17i130770
Popenici, S., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning. Research and Practice in Technology Enhanced Learning. https://doi.org/10.1186/s41039-017-0062-8
Su, J., & Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 3, 100049. https://doi.org/10.1016/j.caeai.2022.100049
Su, J., & Zhong, Y. (2022). Artificial intelligence in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3, 100072. https://doi.org/10.1016/j.caeai.2022.100072
Su, J., Ng, D. T. K., & Chu, S. K. W. (2023). Artificial intelligence literacy in early childhood education: Challenges and opportunities. Computers and Education: Artificial Intelligence, 4, 100124. https://doi.org/10.1016/j.caeai.2023.100124
Su, J., Zhong, Y., & Ng, D. T. K. (2022). A meta-review of AI education in K-12. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2022.100065
Tazume, H., Morita, T., & Hotta, H. (2020). Young learners’ literacy and cognition with AI robots. EdMedia Conference Proceedings. https://doi.org/10.1007/978-3-030-23207-8_12
Torres, P. E., et al. (2021). Physical-digital play and child development: A systematic review. International Journal of Child-Computer Interaction. https://doi.org/10.1016/j.ijcci.2021.100286
Yu, E. (2025). Application of artificial intelligence in early childhood education: A scoping review. Education Sciences. https://doi.org/10.3390/educsci15010123
Zawacki-Richter, O., Marín, V., Bond, M., & Gouverneur, F. (2019). Systematic review of AI in higher education. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-019-0171-0
Zhong, Y., & Xia, L. (2023). AI-supported learning in early childhood: Trends and future directions. Educational Technology Research and Development. https://doi.org/10.1007/s11423-023-10234-5
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Adriana Yajaira Barzola López, Marjorie Abigail Tapia Bajaña, Katiuska del Carmen Menoscal Aspiazu, Nancy Marlene Gaibor Donoso

This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors retain the moral and patrimonial rights of their works. They only give to the magazine Tesla Revista Científica the right to the first publication of this. Since Tesla Revista Científica is an open access publication, readers can fully or partially reproduce its content as long as they properly credit the corresponding authors and the journal itself. Tesla Revista Científica undertakes not to make commercial use of the texts it receives and/or publishes.
Our journal is governed by the international policies SHERPA/RoMEO: Green journal: They allow the self-archiving of both the pre-print (draft of a paper) and the post-print (the version corrected and reviewed by peers) and even the final version ( layout as it will be published in the journal).
See also "Copyright and licences".











