Inteligencia artificial en los procesos académicos: un enfoque crítico sobre la creación del saber y el vínculo educativo
Resumen
El presente estudio es una revisión sistemática cuyo objetivo es analizar de manera integrada y crítica, las transformaciones que produjo la Inteligencia artificial en los procesos académicos universitarios, con especial énfasis en varios ejes interconectados: la generación y circulación del conocimiento, el rol docente, los mecanismos de evaluación y el vínculo pedagógico. Siguiendo la metodología PRISMA se analizaron un total de 59 artículos localizados en revistas indexadas en Scopus y WOS. Los resultados revelan que la IA introduce innovaciones técnicas que transforman y tensionan los marcos epistémicos, éticos y formativos de la educación superior. Asimismo, se muestran vacíos normativos y conceptuales que sostienen las tensiones para la adopción libre y responsable de la IA en la práctica educativa. El estudio concluye que la universidad contemporánea tiene el desafío de abrirse a una pedagogía del discernimiento que preserve la autonomía intelectual y el sentido formativo en un entorno crecientemente automatizado.
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Derechos de autor 2025 Kevin Feijoo Carrión, Amelia Sánchez Bracho, Tomás Fontaines-Ruiz
Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
