Sistemas adaptativos basados en Inteligencia Artificial y aprendizaje personalizado: El rol moderador de la IA en la interacción estudiantil universitaria

Autores/as

DOI:

https://doi.org/10.46502/issn.1856-7576/2026.20.02.17

Palabras clave:

aprendizaje personalizado, entorno de aprendizaje digital, interacción del estudiante, inteligencia artificial, sistemas de aprendizaje adaptativo

Resumen

El estudio tuvo como objetivo determinar el impacto de los sistemas de aprendizaje personalizado adaptativo basados en tecnologías de IA en los indicadores de interacción del alumnado con el entorno educativo digital. El estudio se llevó a cabo mediante un enfoque cuantitativo con la participación de 198 estudiantes de instituciones de educación superior. La recopilación de datos se realizó mediante un cuestionario estructurado. Para el análisis se utilizaron estadísticas descriptivas, análisis de correlación y regresión, así como análisis de varianza unidireccional. Los resultados indicaron que el nivel general de interacción del alumnado fue superior a la media (M = 3,87, DE = 0,64). Se encontró que la personalización (β = 0,42, p < 0,001) y la funcionalidad de la IA (β = 0,36, p < 0,001) fueron predictores significativos de la interacción. Además, se halló un efecto de interacción significativo (β = 0,21, p < 0,01). Los resultados del análisis de varianza (ANOVA) indicaron diferencias entre los grupos con distintos niveles de uso de IA (F = 24,67, p < 0,001). Por lo tanto, la novedad del estudio radicó en identificar el papel moderador de la IA en la mejora del efecto del aprendizaje personalizado.

Biografía del autor/a

Tetiana Mazurok, K.D. Ushynsky South Ukrainian National Pedagogical University, Odesa, Ukraine.

Professor, Head of the Deparnment of Applied Mathematics and Informatics, The Educational and Scientific Inststute of Natural and Mathematical Sciences, Informatics and Management South Ukrainian National Pedagogical University named after K.D. Ushynsky, Odesa, Ukraine.   

Roman Gakh, West Ukrainian National University, Ternopil, Ukraine. 

Associate professor, Department of Physical Rehabilitation and Sports, West Ukrainian National University, Ternopil, Ukraine. 

Kateryna Oleksandrenko, Khmelnytskyi National University, Khmelnytskyi, Ukraine. 

Professor, Head of Department of Foreign Languages, Khmelnytskyi National University, Khmelnytskyi, Ukraine. 

Tetiana Nikolaieva, Kyiv National University of Culture and Arts, Kyiv, Ukraine. 

Associate Professor, Department of Information Activity and Public Relations , Kyiv National University of Culture and Arts, Kyiv, Ukraine. 

Anzhelika Solodka, Admiral Makarov National University of Shipbuilding, Mykolaiv, Ukraine. 

Professor, Department of Translation, Admiral Makarov National University of Shipbuilding, Mykolaiv, Ukraine. 

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Publicado

2026-06-30

Cómo citar

Mazurok, T., Gakh, R., Oleksandrenko, K., Nikolaieva, T., & Solodka, A. (2026). Sistemas adaptativos basados en Inteligencia Artificial y aprendizaje personalizado: El rol moderador de la IA en la interacción estudiantil universitaria. Revista Eduweb, 20(2), 288–307. https://doi.org/10.46502/issn.1856-7576/2026.20.02.17

Número

Vol. 20 Núm. 2 (2026)

Sección

Artículos

Licencia

Derechos de autor 2026 Tetiana Mazurok, Roman Gakh, Kateryna Oleksandrenko, Tetiana Nikolaieva, Anzhelika Solodka

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

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