La convergencia entre neuroeducación, inteligencia artificial e interdisciplinariedad: oportunidades para la innovación educativa
DOI:
https://doi.org/10.63415/saga.v3i3.462Palabras clave:
inteligencia artificial, neurociencias, aprendizaje, innovación educacional, investigación interdisciplinaria, tecnología educacionalResumen
Introducción: La convergencia entre neuroeducación, inteligencia artificial e interdisciplinariedad amplía las posibilidades de innovación mediante la articulación de procesos cognitivos, tecnologías adaptativas y conocimiento pedagógico. Objetivos: analizar oportunidades, aplicaciones e implicaciones derivadas de dicha convergencia, considerando efectos sobre aprendizaje, metacognición, autorregulación, rendimiento y formación docente. Métodos: se desarrolló una revisión sistemática conforme al protocolo PRISMA 2020, mediante búsqueda de publicaciones científicas difundidas entre 2021 y 2026 en bases académicas multidisciplinares, aplicando criterios de elegibilidad, cribado, valoración metodológica y síntesis narrativa; treinta investigaciones integraron el corpus analítico, combinando evidencia empírica, estudios de aplicación, metaanálisis y revisiones científicas. Resultados: la evidencia registró efectos favorables de la inteligencia artificial sobre rendimiento, motivación, retroalimentación, personalización y pensamiento de orden superior, aunque también identificó riesgos relacionados con descarga cognitiva, calibración metacognitiva, privacidad, neuromitos y dependencia tecnológica. La complementariedad humano–IA y los diseños fundamentados en autorregulación presentaron mayor pertinencia pedagógica. Conclusiones: la innovación educativa requiere integrar neuroeducación, inteligencia artificial e interdisciplinariedad mediante diseños pedagógicos orientados al aprendizaje profundo, autonomía, pensamiento crítico y responsabilidad ética. La formación docente y la investigación longitudinal resultan necesarias para fortalecer aplicaciones educativas científicamente fundamentadas y evaluar transferencia, retención y desarrollo cognitivo.
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Derechos de autor 2026 Alexandra Janneth Jadán Torres, María del Cisne León Romero, Demmy Anahi Fajardo Lapo, José Luis Gutiérrez Jiménez, Jorge Edy Castillo Mayorga (Autor/a)
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
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