Inteligencia artificial y enseñanza en Ingenieríauna revisión sistemática de la literatura

  1. Ceada-Garrido, Yolanda 1
  2. Barragán, Antonio Javier 1
  3. Enrique, Juan Manuel 1
  4. Aquino, Arturo 1
  5. Martínez Bohórquez, Miguel Ángel 1
  6. Andújar, José Manuel 1
  1. 1 Universidad de Huelva
    info
    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

    Geographic location of the organization Universidad de Huelva
Journal:
Jornadas de Automática
  1. Mulero Martínez, Juan Ignacio (coord.)
  2. Baños Torrico, Alfonso (coord.)
  3. Torres Sánchez, Roque (coord.)

ISSN: 3045-4093

Year of publication: 2025

Issue: 46

Type: Article

DOI: 10.17979/JA-CEA.2025.46.12180 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

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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Data source: Dialnet