Inteligencia artificial y enseñanza en Ingeniería: una revisión sistemática de la literatura
DOI:
https://doi.org/10.17979/ja-cea.2025.46.12180Palabras clave:
Educación Superior, Enseñanza, Ingeniería, Inteligencia Artificial GenerativaResumen
La llegada de la Inteligencia Artificial Generativa (GenAI) a la educación ha supuesto el inicio de una nueva revolución educativa, generando la necesidad de evaluar tanto sus beneficios, como los posibles desafíos en la formación de los futuros profesionales. Esta investigación tiene como objetivo analizar las experiencias educativas que han introducido esta tecnología en la educación superior de Ingeniería, para conocer su proceso de integración, sus potenciales y principales desafíos. A partir de una revisión sistemática de la literatura, se concluye que la GenAI destaca por su capacidad de adaptarse a las características del alumnado. Sin embargo, su uso en la enseñanza de Ingeniería avanza lentamente, evidenciando la necesidad de integración efectiva en los planes de estudio, para promover buenas prácticas de uso y contribuir al avance de la sociedad.
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Derechos de autor 2025 Yolanda Ceada-Garrido, Antonio Javier Barragán, Juan Manuel Enrique, Arturo Aquino, Miguel Ángel Martínez Bohórquez, José Manuel Andújar
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
