Inteligencia artificial en educación: una revisión sistemática

Contenido principal del artículo

Pedro Campillo Herrero
Rocio Antón Espada

Resumen

Numerosos autores han escrito sobre el potencial y las amenazas que la IA y herramientas como ChatGPT representan para la educación. Durante esta revisión sistemática se abordará la siguiente pregunta de investigación: ¿Cuáles son los beneficios y desafíos de implementar inteligencia artificial en el aula? El 29/12/2023 se realizó una búsqueda en la base de datos SCOPUS y, después de utilizar varios filtros y basándose en criterios de selección, ambos desarrollados en el estudio, se escogieron 15 artículos. Posteriormente se realizó una tabla con la extracción de datos de los artículos en base a la pregunta de investigación. Beneficios: “Personalización del Aprendizaje” (80%); “Retroalimentación Instantánea y Personalizada” (60%); “Eficiencia” (53%); “Mejora del Rendimiento Académico” (47%); “Acceso Equitativo” (40%). Desafíos: “Ética y la Privacidad” (67%); “Capacitación Docente” (60%); “Sesgo y Desinformación” (53%); “Brecha digital” (47%); “Dependencia Excesiva” (40%). Lo que está claro es que, si bien ChatGPT puede contener inexactitudes y sesgos fácticos, puede mejorar el aprendizaje de los estudiantes. En consecuencia, los académicos deberían adaptar las prácticas de enseñanza y evaluación para abrazar la nueva realidad de vivir, trabajar y estudiar en un mundo donde la IA está disponible gratuitamente. 

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Detalles del artículo

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Miscelánea | Miscellanea I. Envíos hasta 1 noviembre

Cómo citar

Campillo Herrero, P., & Antón Espada, R. (2025). Inteligencia artificial en educación: una revisión sistemática. Miguel Hernández Communication Journal, 16, 443-465. https://doi.org/10.21134/0rh1zg17

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