2025 ASEE Annual Conference & Exposition

Research in the Formation of Engineers: Prompting Socially Engaged Divergent Thinking in Engineering Design by Leveraging Generative AI

Presented at NSF Grantees Poster Session II

With appropriate scaffolding and prompt engineering, Generative AI has the potential to support engineering students to think comprehensively about stakeholders and society. In this paper, we present an initial toolkit and pedagogical suggestions for leveraging AI in engineering design across four design activities: (1) identifying stakeholders; (2) generating interview questions; (3) discovering solutions; and (4) assessing impacts. We first recommend that students generate ideas, such as potential stakeholders or solutions, without using Generative AI. Once students exhaust their immediate knowledge, instructors then introduce Generative AI and prompt queries for students to generate a diverse range of additional ideas. Lastly, instructors prompt students to filter unapplicable suggestions by using their engineering judgment. Building upon these suggestions, our funded project will leverage data gathered from students and design instructors to assess the strengths, limitations, and negative consequences of employing Generative AI in design pedagogy.

Authors
  1. Dr. Justin L Hess Orcid 16x16http://orcid.org/0000-0002-1210-9535 Purdue University at West Lafayette (COE) [biography]
  2. Dr. Robert P. Loweth Orcid 16x16http://orcid.org/0000-0001-6337-2889 The University of North Carolina at Charlotte [biography]
  3. Udeme Idem Orcid 16x16http://orcid.org/0000-0003-2339-050X Purdue University at West Lafayette (COE) [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025