Sistemas inteligentes y su aplicación en la evaluación del desempeño académico universitario: una revisión de la literatura en el contexto sudamericano
DOI:
https://doi.org/10.51252/rcsi.v4i2.671Palabras clave:
aprendizaje automático, equidad educativa, inteligencia artificial, retroalimentaciónResumen
El estudio tuvo como objetivo analizar el impacto de los sistemas inteligentes en la mejora del rendimiento académico y la personalización del aprendizaje, mediante una revisión de 29 artículos publicados entre 2016 y 2024. Se centró en el uso de la inteligencia artificial, el aprendizaje automático, la minería de datos y los sistemas de tutoría inteligentes en la educación. Los resultados mostraron que estas tecnologías optimizan la evaluación educativa y mejoran el rendimiento académico. Los modelos predictivos identifican a estudiantes en riesgo de abandono escolar, facilitando intervenciones tempranas. Las arquitecturas adaptativas demostraron ser efectivas en diversas disciplinas, y los sistemas de tutoría inteligentes mejoraron la interacción y la retroalimentación. A pesar de estos avances, persisten desafíos en la accesibilidad en entornos con recursos limitados, y preocupaciones éticas relacionadas con la privacidad de los datos y el sesgo algorítmico. El estudio resalta la necesidad de un enfoque inclusivo y ético para garantizar que estas tecnologías transformen la educación y beneficien a todos los estudiantes.
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Derechos de autor 2024 Magdalena Del-Águila-Castro
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
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