Engineering a Sustainable Future Through the Integration of Generative AI in Engineering Education

Engineers’ work impacts society and the environment and plays a central role in delivering on the United Nations Sustainable Development Goals. However, developing sustainability skills in engineering programs competes with a dense technical curriculum and has proven challenging. The mainstream adoption of generative AI (GAI) tools has prompted a review of teaching and learning, with expanding possibilities as new use cases emerge. This study reviews the impact that GAI is having on engineering education and proposes a framework for the use of GAI to facilitate greater socio-enviro-technical integration in the engineering curriculum. Based on a scoping review of the literature and a conceptual analysis, this paper provides a forward-looking perspective. Artificial intelligence (AI) is also transforming the practice of engineering, triggering the need to adjust graduate attributes accordingly. The increased productivity expected with the rise of AI in the workplace can scale-up the impact of engineering developments and underscores the need for graduates’ sustainability skills. Furthermore, engineers have a prominent role in the development of AI systems. Therefore, in advocating for the need to enhance graduate’s sustainability skills, we emphasize understanding its limitations and the sustainability of AI systems to address the paradox of AI for sustainability and the sustainability of AI itself.

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Publication Details

Journal
Sustainability
Published
2025-04-03
DOI
https://doi.org/10.3390/su17073201
Citations
9
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
29.22
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article

Engineering a Sustainable Future Through the Integration of Generative AI in Engineering Education

X. Colom, Elisa Martínez-Marroquín, Javier Cañavate
9 citations
Sustainability
Engineering Education and Technology
29.22
article

Engineering a Sustainable Future Through the Integration of Generative AI in Engineering Education

X. Colom, Elisa Martínez-Marroquín, Javier Cañavate
article en
9 citations

Abstract

Engineers’ work impacts society and the environment and plays a central role in delivering on the United Nations Sustainable Development Goals. However, developing sustainability skills in engineering programs competes with a dense technical curriculum and has proven challenging. The mainstream adoption of generative AI (GAI) tools has prompted a review of teaching and learning, with expanding possibilities as new use cases emerge. This study reviews the impact that GAI is having on engineering education and proposes a framework for the use of GAI to facilitate greater socio-enviro-technical integration in the engineering curriculum. Based on a scoping review of the literature and a conceptual analysis, this paper provides a forward-looking perspective. Artificial intelligence (AI) is also transforming the practice of engineering, triggering the need to adjust graduate attributes accordingly. The increased productivity expected with the rise of AI in the workplace can scale-up the impact of engineering developments and underscores the need for graduates’ sustainability skills. Furthermore, engineers have a prominent role in the development of AI systems. Therefore, in advocating for the need to enhance graduate’s sustainability skills, we emphasize understanding its limitations and the sustainability of AI systems to address the paradox of AI for sustainability and the sustainability of AI itself.

SustainabilityVol. 17(7)
University of Canberra (AU), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 1%
Engineering Education and Technology
29.22
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Engineering a Sustainable Future Through the Integration of Generative AI in Engineering Education — X. Colom, Elisa Martínez-Marroquín, et al. · Sustainability (2025) | TGRS Research Map | TGRS