Evolution of the Adoption of Generative AI Among Spanish Engineering Students
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Engineering and computer science students adopt AI faster due to curriculum design and institutional encouragement, while social sciences and humanities students lag behind despite seeing AI's potential.
“Further research from Spanish universities shows that engineering and computer science students adopt AI faster due to curriculum design and institutional encouragement, while social sciences and humanities students lag behind despite seeing AI's potential (Llorens-Largo et al., 2024).”
From <b>Beyond Access: Socioeconomic, Academic and Disciplinary Determinants of Generative AI Use in Higher Education</b> (2026) · cites this paper as Llorens-Largo et al., 2024
Cites
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00411-8 · Cited by 2,301 · see citing works
Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023) · The International Journal of Management Education · doi:10.1016/j.ijme.2023.100790 · Cited by 1,261 · see citing works
Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education
Qadir, J. (2023) · 2023 IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon54358.2023.10125121 · Cited by 707 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Zafar, S., Shaheen, F., & Khan, S. A. (2026) · Journal of Political Stability Archive · doi:10.63468/jpsa.4.2.17
- Authors
- Llorens-Largo, F., Molina-Carmona, R., Real-Fernández, A., & Arjona-Giner, S.
- Affiliations
- University of Alicante (ES)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2024
- Pages
- 305-320
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4399267540
- Cited by
- 2
- References
- 3
- Citations by year
- 2026: 2
- FWCI
- 0.64
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- generative AI adoption, engineering students, ChatGPT, artificial intelligence in education, gender differences, student attitudes, Spanish higher education, technology adoption trends
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
