Gestión del conocimiento e inteligencia artificial en la educación superior

Contenido principal del artículo

Ariane Simarco-Scarci
Marcelo Henrique Fonseca
Thaise Moser-Teixeira
Letícia Fleig-Dal Forno

Resumen

La inteligencia artificial (IA) tiene un potencial transformador en
la educación, generando beneficios y desafíos. Considerando los
numerosos debates debido al rápido avance de la IA, este estudio forma parte de una investigación de maestría con el objetivo de identificar el estado del arte de las investigaciones sobre Inteligencia Artificial en la Educación (IAED), organizando y categorizando información para apoyar a investigadores, docentes y gestores en la toma de decisión a través de la gestión del conocimiento. Se realizó una revisión de alcance con estudios publicados entre 2021 y 2025,
dando continuidad a revisiones previas. Los artículos seleccionados
de la base Web of Science, son indexados en el Social Sciences Citation Index, lo que garantiza la calidad de los trabajos analizados. Tras el proceso de selección, se incluyeron 230 artículos a partir de un total de más de 700 trabajos en el área de la educación. La metodología adoptada es cualitativa y exploratoria, utilizando el análisis del contenido y estadísticas descriptivas de algunos datos de los artículos. Los resultados muestran un avance significativo en las
investigaciones sobre Inteligencia Artificial en la Educación (IAED),
incluyendo su implementación con su uso ético y sus impactos en la
educación superior. Es necesaria tanto la concienciación y la orientación adecuada de los estudiantes, así como la regulación del uso de la IA, garantizando así la seguridad de los datos y la mitigación de sesgos algorítmicos en el contexto educativo.

Detalles del artículo

Sección
Sección Miscelánea

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