Inteligencia artificial y enseñanza en Ingeniería: una revisión sistemática de la literatura

• Ceada-Garrido, Yolanda ^[1] ; Barragán, Antonio Javier ^[1] ; Enrique, Juan Manuel ^[1] ; Aquino, Arturo ^[1] ; Martínez Bohórquez, Miguel Ángel ^[1] ; Andújar, José Manuel ^[1]
  1. [1] Universidad de Huelva

     Universidad de Huelva

     Huelva, España

     
• Localización: Jornadas de Automática, ISSN-e 3045-4093, Nº. 46, 2025
• Idioma: español
• DOI: 10.17979/ja-cea.2025.46.12180
• Títulos paralelos:
  • Applying artificial intelligence in automatic engineering education: a systematic literature review
• Enlaces
  • Texto completo
• Resumen
  • español

    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.

  • English

    The arrival of Generative Artificial Intelligence (GenAI) in education has meant the beginning of a new educational revolution, generating the need to evaluate both its benefits and possible challenges in the training of future professionals. This research aims to analyze the educational experiences that have introduced this technology in higher engineering education, in order to know its integration process, its potentials and main challenges. From a systematic review of the literature, it is concluded that GenAI stands out for its ability to adapt to the characteristics of the students. However, its use in engineering education is advancing slowly, evidencing the need for effective integration into the curricula, to promote good practices and contribute to the advancement of society.

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