Optimización de la Investigación con Inteligencia Artificial en Educación Intercultural Superior: Estudio de Caso

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Miguel Paidican
Pamela Arredondo

Resumen

Para evaluar la integración de IA en la optimización de procesos investigativos en educación intercultural superior, se realizó un estudio de caso en un magíster, aplicando TPACK, metodologías activas y herramientas IA (Scholarcy, NotebookLM, Consensus, Napkin) en un módulo de currículum intercultural. La IA facilitó la gestión de información científica y mejoró la calidad de los proyectos, aunque se evidenció la necesidad de equilibrar su uso con reflexión crítica. Se concluye que la IA es un recurso valioso si se integra en un marco pedagógico sólido, recomendándose fomentar su uso equilibrado con espacios de discusión colaborativa para potenciar el pensamiento crítico.

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Paidican, M., & Arredondo, P. (2026). Optimización de la Investigación con Inteligencia Artificial en Educación Intercultural Superior: Estudio de Caso. Revista De Innovación Y Buenas Prácticas Docentes, 19–38. https://doi.org/10.21071/ripadoc.v15i1.18384
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