Sistemas de aprendizaje adaptativo con IA y compromiso multidimensional en Educación Física en línea: efectos grandes

Autores/as

DOI:

https://doi.org/10.47197/retos.v80.119205

Palabras clave:

Sistema de aprendizaje adaptativo de inteligencia artificial, educación física en línea, compromiso de aprendizaje, experiencia de aprendizaje, efecto mediador

Resumen

Introducción: La educación física en línea se ha expandido considerablemente desde la pandemia de COVID-19, pero presenta dificultades para mantener un compromiso estudiantil estable. Los sistemas de aprendizaje adaptativo de inteligencia artificial suponen una solución prometedora, aunque la investigación empírica sobre sus efectos en la educación física sigue siendo insuficiente.

Objetivo: Este estudio pretendió analizar cómo los sistemas de aprendizaje adaptativo de inteligencia artificial influyen en el compromiso estudiantil en la educación física en línea y comprobar el papel mediador de la experiencia de aprendizaje.

Metodología: Se empleó un diseño cuasiexperimental con 203 estudiantes de la provincia de Jiangsu. Se realizó un ciclo cuasiexperimental de 16 semanas, que comprendió 4 semanas de pre-test, 10 semanas de intervención y 2 semanas de post-test, y se recogieron datos mediante cuestionarios, análisis de plataformas y entrevistas semiestructuradas.

Resultados: Los sistemas de aprendizaje adaptativo de inteligencia artificial aumentaron significativamente el compromiso de aprendizaje general y sus tres dimensiones. La experiencia de aprendizaje medió parcialmente la relación, explicando el 54,9% del efecto total, y los datos cualitativos respaldaron estos resultados.

Discusión: Los hallazgos coincidieron con estudios en asignaturas académicas tradicionales y cubrieron la laguna de investigación cuantitativa en educación física en línea.

Conclusiones: Los sistemas de aprendizaje adaptativo de inteligencia artificial mejoran eficazmente el compromiso estudiantil en la educación física en línea, con la experiencia de aprendizaje como mediador clave, aportando evidencia para la transformación inteligente de la educación física en línea.

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Publicado

27-05-2026

Número

Sección

Artículos de carácter científico: investigaciones básicas y/o aplicadas

Cómo citar

Huang, S., & Wong, B. E. (2026). Sistemas de aprendizaje adaptativo con IA y compromiso multidimensional en Educación Física en línea: efectos grandes. Retos, 80, 1008-1027. https://doi.org/10.47197/retos.v80.119205