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julio 2024
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Evolution of the Adoption of Generative AI Among Spanish Engineering Students

Evolution of the Adoption of Generative AI Among Spanish Engineering Students
Faraón Llorens-Largo, Rafael Molina-Carmona, Alberto Real-Fernández, & Sergio Arjona-Giner
26th International Conference on Human-Computer Interaction (HCII 2024)
Washington DC, USA
29 June – 4 July 2024
11th International Conference on Learning and Collaboration Technologies (LCT 2024).

Lecture Notes in Computer Science book series (LNCS,volume 14724) (https://link.springer.com/chapter/10.1007/978-3-031-61691-4)

https://link.springer.com/chapter/10.1007/978-3-031-61691-4_20

https://doi.org/10.1007/978-3-031-61691-4_20

Abstract
The irruption of ChatGPT has led to a technological change that could affect all sectors, concretely education. University students are facing this change, and the adoption of generative AI will be key to both their learning and job performance. This paper aims to study the adoption and evolution of generative AI among engineering students by analysing two surveys conducted in 2022 and 2023. The results show that engineering students are mostly aware and they are using generative AI tools. On the other hand, it has been studied whether gender can influence their adoption, and the results do not indicate significant changes. Regarding the evolution of the adoption of generative AI, a great change is shown, since it is being more used in all fields, also in education. This change indicates the attitude of engineering students to explore and take advantage of innovative tools, which can have a current and future impact on their learning and development.

Keywords
Generative AI · Technology Adoption · ChatGPT

Cite this paper as:
Llorens-Largo, F., Molina-Carmona, R., Real-Fernández, A., Arjona-Giner, S. (2024). Evolution of the Adoption of Generative AI Among Spanish Engineering Students. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2024. Lecture Notes in Computer Science, vol 14724. Springer, Cham. https://doi.org/10.1007/978-3-031-61691-4_20


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