Del aprendizaje a la automatización, implicaciones de la IA en la educación superior: revisión literaria
DOI:
https://doi.org/10.32870/dse.v0i34.1723Resumen
La educación ha experimentado una transformación significativa debido al uso de la Inteligencia Artificial en el ámbito académico, tanto para estudiantes, docentes y administrativos. En su mayoría, la integración de la IA ha traído beneficios, mejorando la personalización del aprendizaje y la eficiencia en la enseñanza. Sin embargo, también surgen desafíos y desventajas que deben ser considerados cuidadosamente para asegurar un proceso de enseñanza-aprendizaje efectivo. El objetivo de esta investigación es llevar a cabo una revisión sistemática y bibliométrica que responda a las preguntas de investigación planteadas y cumpla con los objetivos propuestos enfocados las implicaciones de la IA en la educación superior. Se identificaron 532 artículos relacionados con el tema, de los cuales se seleccionaron 55 para realizar la revisión literaria. Utilizando la metodología PRISMA para el cribado y la herramienta biblioshiny para el análisis estadístico. Los resultados muestran que existe una alta correlación entre los términos “educación”, “estudiantes” e “inteligencia artificial” en la literatura. No obstante, también se destaca la importancia de un uso adecuado de las herramientas de IA para evitar posibles consecuencias negativas. Es fundamental que tanto educadores como estudiantes aprovechen las ventajas de la IA con las implicaciones que supone su uso.
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
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