MODELOS DE TUTORÍA EN INTELIGENCIA ARTIFICIAL Y HABILIDADES DE CONOCIMIENTO EN EL CONTEXTO DE LA INDUSTRIA 5.0
DOI:
https://doi.org/10.56238/revgeov17n5-090Palabras clave:
Inteligencia Artificial (IA), Modelos de Tutoría, Habilidades de Conocimiento, Industria 5.0, IA GenerativaResumen
La expansión de la inteligencia artificial generativa ha ampliado la presencia de sistemas de tutoría digital en entornos educativos y corporativos, elevando la capacidad de personalización, la escalabilidad y la disponibilidad del apoyo al aprendizaje. Al mismo tiempo, la Industria 5.0 reposiciona al ser humano en el centro de la transformación tecnológica, reforzando la relevancia de las habilidades de conocimiento para el aprendizaje continuo, la adaptabilidad y la creación de valor. Este artículo analiza cómo los modelos de tutoría basados en inteligencia artificial se relacionan con el desarrollo de habilidades de conocimiento en el contexto de la Industria 5.0. El estudio adopta un enfoque teórico-conceptual, desarrollado mediante una revisión integradora de la literatura, con base en las producciones de calificación de los autores y en las fuentes autorizadas del proyecto. Los hallazgos indican que los modelos de tutoría humana, artificial e híbrida producen efectos distintos sobre la autonomía, la motivación, el compromiso, el aprendizaje autorregulado y el desarrollo de competencias cognitivas, digitales y adaptativas. Se concluye que la tutoría basada en IA puede actuar como infraestructura de apoyo al desarrollo de habilidades de conocimiento, siempre que opere bajo una lógica human-centered, articulada con principios pedagógicos, la curaduría humana, los procesos de creación y circulación del conocimiento.
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