Inteligencia artificial aplicada a la educación y la evaluación educativa en la Universidad: introducción de sistemas de tutorización inteligentes, sistemas de reconocimiento y otras tendencias futuras.

Autores/as

DOI: https://doi.org/10.6018/red.594651
Palabras clave: Inteligencia Artificial, Evaluación, Educación, Universidad, Revisión sistemática de literatura

Resumen

La introducción de la inteligencia artificial (IA) ha supuesto el comienzo de la cuarta revolución industrial y la génesis de un cambio de paradigma en proceso enseñanza-aprendizaje. La IA se ha aplicado en la planificación y diseño de la enseñanza, en la evaluación y tutorización del estudiante, en el contenido curricular, integrándola en la creación de campus inteligentes y laboratorios computacionales. En este artículo se realiza un análisis sistemático de la literatura existente en Scopus analizando la aplicación de la IA en la educación y la evaluación de resultados de aprendizaje en la Universidad, en la última década. El método ha estado basado en las recomendaciones dadas por García-Peñalvo, F. J.  en su artículo de 2022 (García-Peñalvo, 2022) para realizar revisiones teóricas robustas.

Los resultados han destacado los siguientes avances: la introducción de sistemas de tutorización inteligentes, sistemas de reconocimiento para identificar al discente en formación online, sistemas de seguridad en los diseños del campus inteligente, la personalización de la educación y algunas tendencias futuras, como la realidad virtual y aumentada combinada con IA. Es de destacar la importancia que se le concede a las cuestiones éticas relacionadas con el uso de la IA en la evaluación del estudiante universitario.

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Publicado
30-05-2024
Cómo citar
Hernández León, N., & Rodríguez-Conde, M.-J. (2024). Inteligencia artificial aplicada a la educación y la evaluación educativa en la Universidad: introducción de sistemas de tutorización inteligentes, sistemas de reconocimiento y otras tendencias futuras. Revista de Educación a Distancia (RED), 24(78). https://doi.org/10.6018/red.594651