Tendencias de IA para la educación universitaria: un enfoque bibliométrico

Autores/as

DOI:

https://doi.org/10.61347/ei.v4i1.102

Palabras clave:

Análisis bibliométrico, aprendizaje automático, automatización educativa, educación superior, inteligencia artificial

Resumen

En los últimos años, la inteligencia artificial (IA) ha revolucionado radicalmente el ámbito educativo al ofrecer herramientas innovadoras que transforman tanto la enseñanza como el aprendizaje. No obstante, la comprensión sobre su impacto específico en la educación universitaria sigue siendo limitada. Por ello, este estudio tiene como objetivo analizar las tendencias emergentes de la IA en la educación superior utilizando un enfoque bibliométrico. Por lo tanto, se recopiló información de la base de datos Scopus mediante una estrategia de búsqueda específica que permitió obtener un total de 4146 documentos para su análisis. Se utilizó el paquete Bibliometrix en R y el software RStudio para procesar y visualizar los datos, lo que identificó patrones en la producción científica, así como los principales actores influyentes y las áreas de investigación predominantes. Los resultados indican un crecimiento exponencial en el número de publicaciones, con un enfoque particular en la aplicación de IA para el aprendizaje personalizado y la automatización de procesos educativos. Además, el análisis temporal de las palabras clave reveló un cambio significativo en las tendencias investigativas, destacando un aumento en la exploración de enfoques basados en machine learning y análisis de datos educativos. Sin embargo, persisten desafíos en la adopción e implementación de esta tecnología en entornos educativos, relacionados con aspectos de seguridad, ética y disponibilidad de recursos. Este estudio proporciona una visión integral sobre el panorama actual de la IA en la educación universitaria e información relevante para futuras investigaciones en el campo.

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Publicado

2025-02-17

Cómo citar

Pailiacho Yucta, H. R., Chiriboga Cevallos, A. A., Espinoza Toala, J. W., & Villacís Naranjo, M. del C. (2025). Tendencias de IA para la educación universitaria: un enfoque bibliométrico. Esprint Investigación, 4(1), 154–171. https://doi.org/10.61347/ei.v4i1.102