Resumen

MARTINEZ JONDA, Cecilia  y  PADILLA CABALLERO, Jesús Emilio Agustín. Integration of artificial intelligence as a tool to optimize learning in early childhood education. Tribunal [online]. 2025, vol.5, n.11, pp.426-439.  Epub 01-Abr-2025. ISSN 2959-6513.  https://doi.org/http://doi.org/10.59659/revistatribunal.v5i11.166.

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.

Palabras clave : Learning; Artificial; Development; Intelligence; Early Childhood.

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