Determinant factors of the pedagogical integration of artificial intelligence in engineering education at an Ecuadorian university
Identification
- Clé publique
- radar:r-8d3c72497242d42962524375b7d41ab8
- Auteurs
- Sedolfo Carrasquero · Mara Cabanilla Guerra · Mónica Del Carmen Vargas Jiménez · Dunia Lucía Barreiro Moreira
- Année déclarée
- 2026
- Langue déclarée
- en
- Type source
- conference-paper
- Première détection
- 2026-11-14T02:18:29.459084+00:00
- Dernière observation des métadonnées
- 2026-11-14T02:18:29.459084+00:00
- Dernière vérification HTTP
- Non effectuée
Institutions déclarées par la source
Universidad Tecnológica Empresarial de Guayaquil
Pays d’affiliation déclarés
EC
Résumé documentaire — langue originale
The pedagogical integration of artificial intelligence (AI) in Engineering education represents a strategic challenge for higher education institutions, particularly in developing contexts where teaching, curricular, and technological factors converge. This study analyzes the key determinants influencing the pedagogical integration of AI in Engineering programs at the Universidad Tecnológica Empresarial de Guayaquil (UTEG), Ecuador. A quantitative approach was employed, using a non-experimental, cross-sectional design based on a sample of 87 faculty members. A structured instrument was designed and validated to assess three dimensions: teaching preparedness, curricular alignment, and technological conditions. Based on these dimensions, three normalized sub-indices and a Global AI Maturity Index were constructed. The results revealed an advanced level in the teaching dimension, a developing level in the curricular dimension, and an emerging level in the technological dimension. Multiple linear regression analysis indicated that prior digital experience and basic AI competencies are significant predictors of pedagogical integration, whereas years of teaching experience and institutional support were not statistically significant. These findings suggest that the initial adoption of AI in Engineering education is primarily driven by individual faculty capabilities rather than institutional technological maturity. It is concluded that strengthening applied pedagogical training, curricular redesign, and technological infrastructure is essential to achieve a more systemic and sustainable integration of AI in higher education.
Identifiants
- OPENALEX
- https://openalex.org/W7196932955
- DOI
- 10.18687/laccei2026.1.1.906
Repères documentaires
- Famille documentaire
- conference_paper
- Types déclarés par les sources
- conference-paper
Les mentions d’entités ne constituent pas une preuve de reconnaissance juridique. La juridiction étudiée est distincte du pays d’affiliation des auteurs.
Sources
OpenAlex · Document 1
Citer cette référence
Sedolfo Carrasquero; Mara Cabanilla Guerra; Mónica Del Carmen Vargas Jiménez; Dunia Lucía Barreiro Moreira. Determinant factors of the pedagogical integration of artificial intelligence in engineering education at an Ecuadorian university. 2026. https://doi.org/10.18687/laccei2026.1.1.906
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- APA
- Sedolfo Carrasquero; Mara Cabanilla Guerra; Mónica Del Carmen Vargas Jiménez; Dunia Lucía Barreiro Moreira. (2026). Determinant factors of the pedagogical integration of artificial intelligence in engineering education at an Ecuadorian university. https://doi.org/10.18687/laccei2026.1.1.906
- Chicago
- Sedolfo Carrasquero; Mara Cabanilla Guerra; Mónica Del Carmen Vargas Jiménez; Dunia Lucía Barreiro Moreira. Determinant factors of the pedagogical integration of artificial intelligence in engineering education at an Ecuadorian university. 2026. https://doi.org/10.18687/laccei2026.1.1.906
- ISO 690
- Sedolfo Carrasquero; Mara Cabanilla Guerra; Mónica Del Carmen Vargas Jiménez; Dunia Lucía Barreiro Moreira. Determinant factors of the pedagogical integration of artificial intelligence in engineering education at an Ecuadorian university. 2026. https://doi.org/10.18687/laccei2026.1.1.906
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UDTR — Bibliothèque juridique mondiale des droits de la Nature. Determinant factors of the pedagogical integration of artificial intelligence in engineering education at an Ecuadorian university. Notice documentaire: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-8d3c72497242d42962524375b7d41ab8/ · Dernière vérification HTTP : non effectuée
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Source bibliographique / publication d’origine · https://doi.org/10.18687/laccei2026.1.1.906
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