Plenary: Enhancing Engineering Education: Integrating Generative AI Tools
Plenary: Enhancing Engineering Education: Integrating Generative AI Tools
Eduardo Mangarelli
TLDR
This plenary addresses 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.
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.

