Plenary: Enhancing Engineering Education: Integrating Generative AI Tools

Generative Artificial Intelligence and Large Language Models are reshaping the way we produce, refine, and engage with information. This plenary focuses on the implications of these technologies, specifically in engineering education, highlighting both the general educational benefits and the unique demands of adapting established engineering practices to leverage Artificial Intelligence (AI) effectively. We discuss practical strategies for classroom and laboratory integration, illustrate how software engineering workflows must accommodate AI-generated code, and underscore the importance of equipping future engineers with the essential technical and ethical competencies. Finally, we address the broad challenge of envisioning how industry and academic disciplines may evolve in response to AI, so that institutions can proactively provide learners with the skills and knowledge needed for the professions of tomorrow.

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Publication Details

Published
2025-03-23
DOI
https://doi.org/10.1109/edunine62377.2025.10980840
Citations
1
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
3.25
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article

Plenary: Enhancing Engineering Education: Integrating Generative AI Tools

Eduardo Mangarelli
1 citations
Engineering Education and Technology
3.25
article

Plenary: Enhancing Engineering Education: Integrating Generative AI Tools

Eduardo Mangarelli
article en
1 citations

Abstract

Generative Artificial Intelligence and Large Language Models are reshaping the way we produce, refine, and engage with information. This plenary focuses on the implications of these technologies, specifically in engineering education, highlighting both the general educational benefits and the unique demands of adapting established engineering practices to leverage Artificial Intelligence (AI) effectively. We discuss practical strategies for classroom and laboratory integration, illustrate how software engineering workflows must accommodate AI-generated code, and underscore the importance of equipping future engineers with the essential technical and ethical competencies. Finally, we address the broad challenge of envisioning how industry and academic disciplines may evolve in response to AI, so that institutions can proactively provide learners with the skills and knowledge needed for the professions of tomorrow.

Universidad ORT Uruguay (UY)
Openalex Percentile: Top 9%
Engineering Education and Technology
3.25
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Plenary: Enhancing Engineering Education: Integrating Generative AI Tools — Eduardo Mangarelli · (2025) | TGRS Research Map | TGRS