Enseñanza asistida por IA en la educación superior: retos y oportunidades
DOI:
https://doi.org/10.64923/ceniiac.e0003Palabras clave:
Inteligencia artificial, Docencia universitaria, Educación superior, Bibliometría, ChatGPT, Políticas educativas, Competencias digitalesResumen
La enseñanza asistida por inteligencia artificial en la educación superior ha propiciado un crecimiento significativo de la producción científica en los últimos años, impulsado tanto por las oportunidades pedagógicas como por los desafíos éticos, institucionales y tecnológicos que plantea. El objetivo de este estudio fue analizar, mediante un enfoque bibliométrico, la evolución, los principales contribuyentes, los temas centrales y los patrones de citación de la investigación sobre este tema entre 2017 y 2024. Se utilizó la base de datos Scopus y se procesaron 276 documentos tras un riguroso proceso de selección. El análisis se realizó con RStudio (Bibliometrix), VOSviewer y Excel. Los resultados muestran un aumento constante en las publicaciones, especialmente desde 2020, con una alta concentración en China y una fuerte influencia de autores y documentos recientes. Los temas más relevantes incluyen la integración de ChatGPT, la formulación de políticas institucionales y la autoeficacia docente. Las conclusiones destacan que, a pesar del crecimiento del campo, persisten desafíos en términos de profundidad conceptual, ética digital y formación del profesorado. Se recomienda fortalecer las redes de colaboración, promover líneas de investigación interdisciplinarias y desarrollar marcos críticos para la integración responsable de la inteligencia artificial en el ámbito universitario.
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