Integración de la inteligencia artificial como herramienta para optimizar el aprendizaje en la educación inicial
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Tribunal
Abstract
La investigación analiza la mediación de la inteligencia artificial (IA) en la educación inicial, reconociendo su potencial para personalizar el aprendizaje y optimizar la gestión educativa. El objetivo es explorar cómo la IA puede mejorar la enseñanza en esta etapa formativa al adaptar el contenido a los intereses y estilos de aprendizaje de los niños. Para ello, se empleó el método PRISMA, revisando artículos académicos de las bases de datos Scopus y SciELO, priorizando investigaciones relevantes en educación y humanidades publicados entre 2024 y 2025, en idioma inglés y de acceso abierto. Tras aplicar los criterios de exclusión, se seleccionaron 11 artículos. Los resultados evidencian que la IA facilita la personalización del aprendizaje y la detección temprana de necesidades especiales, beneficiando tanto a los estudiantes como a los docentes mediante herramientas de análisis y recomendaciones pedagógicas. Las conclusiones resaltan la importancia de equilibrar la tecnología con la interacción humana, asegurando que la IA actúe como apoyo y no reemplace la enseñanza tradicional.
This research analyzes the mediation of artificial intelligence (AI) in early childhood education, recognizing its potential to personalize learning and optimize educational management. The objective is to explore how AI can improve teaching at this stage of education by adapting content to children's interests and learning styles. To this end, the PRISMA method was used, reviewing academic articles from the Scopus and SciELO databases, prioritizing relevant research in education and humanities published between 2024 and 2025, in English and open access. After applying exclusion criteria, 11 articles were selected. The results show that AI facilitates personalized learning and the early detection of special needs, benefiting both students and teachers through analytical tools and pedagogical recommendations. The conclusions highlight the importance of balancing technology with human interaction, ensuring that AI acts as a support and does not replace traditional teaching.
This research analyzes the mediation of artificial intelligence (AI) in early childhood education, recognizing its potential to personalize learning and optimize educational management. The objective is to explore how AI can improve teaching at this stage of education by adapting content to children's interests and learning styles. To this end, the PRISMA method was used, reviewing academic articles from the Scopus and SciELO databases, prioritizing relevant research in education and humanities published between 2024 and 2025, in English and open access. After applying exclusion criteria, 11 articles were selected. The results show that AI facilitates personalized learning and the early detection of special needs, benefiting both students and teachers through analytical tools and pedagogical recommendations. The conclusions highlight the importance of balancing technology with human interaction, ensuring that AI acts as a support and does not replace traditional teaching.
Description
Vol. 5, No. 11