@inproceedings{c29deb4a5b0844108348e02ac1e0a582,
title = "WIP: Generative vs. Traditional Computer-Aided Design-How Design Tools Impact CAD Artifact Quality",
abstract = "This work-in-progress research paper explores the effects of generative AI design tools on engineering students' design artifacts during computer-aided design (CAD) tasks with the objective to better understand the impact of emergent design tools on design artifacts to better inform the development of curriculum surrounding generative design. Our research explored the question: to what extent does engaging in generative design produce a different quality artifact as compared to traditional design? This study utilized a mixed methods approach to compare students' (n=20) CAD artifact quality between two separate tasks; one completed with traditional parametric modeling and the other with generative design tools. Preliminary findings indicate that students produced a significantly higher quality design artifact using generative design as compared to artifacts created using traditional parametric methods.",
keywords = "computer-aided design, design artifact assessment, engineering design, generative design",
author = "Aidan Hall and Goldstein, \{Molly H.\}",
note = "This material is based upon work supported by the National Science Foundation under Grant DUE \#2207408.; 54th IEEE Frontiers in Education Conference, FIE 2024 ; Conference date: 13-10-2024 Through 16-10-2024",
year = "2024",
doi = "10.1109/FIE61694.2024.10892999",
language = "English (US)",
series = "Proceedings - Frontiers in Education Conference, FIE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE Frontiers in Education Conference, FIE 2024 - Proceedings",
address = "United States",
}