{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/127414"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/127414","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Traditional vs. generative design: How design tools impact cad artifact quality and student perception of design concepts","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","abstract_has_math":false,"creators":["Hall, Aidan J."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Systems & Entrepreneurial Engr","degree_department":null,"school":null,"contributors":["Goldstein, Molly H"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-12-11","date_published":"2024-12-11","updated_at":"2026-07-22T22:25:04Z","subjects":["Engineering Design","Generative Design","Cad Artifact Evaluation","Design Cognition"],"languages":["eng","en"],"rights":["Copyright 2024 Aidan Hall"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/127414","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Goldstein, Molly H"]},{"key":"dc:creator","label":"Author","values":["Hall, Aidan J."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-12-11","2024-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Systems & Entrepreneurial Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering Design","Generative Design","Cad Artifact Evaluation","Design Cognition"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng","en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2024 Aidan Hall"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/127414"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","The student, Aidan Hall, accepted the attached license on 2024-12-11 at 14:22.","The student, Aidan Hall, submitted this Thesis for approval on 2024-12-11 at 14:29.","This Thesis was approved for publication on 2024-12-11 at 16:25.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21572 on 2025-03-28 at 14:45:04","This paper explores the impact of generative-AI design tools on engineering students’ design artifacts during computer-aided design (CAD) tasks and their perceptions of design concepts within those tasks with the objective to better inform the development of curriculum surrounding generative design (GD). Our research explored the following questions: (1) To what extent does engaging in generative design produce a different quality artifact as compared to traditional design? (2) How do students’ perceptions of design concepts change between traditional and generative design tasks? This study utilized a mixed methods approach to compare students’ (n=20) CAD artifact quality between two distinct design tasks; one completed with traditional parametric modeling and the other with generative design tools. In addition to the CAD artifacts created during the workshop, data sources included a Conceptions of Design Test (CDT) that was issued before and after participation and open-ended survey questions about their experience in the workshop. Findings indicate that students produced a statistically significant higher quality design artifact using generative design as compared to artifacts created using traditional parametric methods. Results from the CDT show that students’ perception of the difference between traditional and generative design tasks changed significantly after participating in the workshop."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Traditional vs. generative design: How design tools impact cad artifact quality and student perception of design concepts"]}]}],"canonical_facts":{"dc:contributor":["Goldstein, Molly H"],"dc:creator":["Hall, Aidan J."],"dc:date":["2024-12-11","2024-12"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01","The student, Aidan Hall, accepted the attached license on 2024-12-11 at 14:22.","The student, Aidan Hall, submitted this Thesis for approval on 2024-12-11 at 14:29.","This Thesis was approved for publication on 2024-12-11 at 16:25.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21572 on 2025-03-28 at 14:45:04","This paper explores the impact of generative-AI design tools on engineering students’ design artifacts during computer-aided design (CAD) tasks and their perceptions of design concepts within those tasks with the objective to better inform the development of curriculum surrounding generative design (GD). Our research explored the following questions: (1) To what extent does engaging in generative design produce a different quality artifact as compared to traditional design? (2) How do students’ perceptions of design concepts change between traditional and generative design tasks? This study utilized a mixed methods approach to compare students’ (n=20) CAD artifact quality between two distinct design tasks; one completed with traditional parametric modeling and the other with generative design tools. In addition to the CAD artifacts created during the workshop, data sources included a Conceptions of Design Test (CDT) that was issued before and after participation and open-ended survey questions about their experience in the workshop. Findings indicate that students produced a statistically significant higher quality design artifact using generative design as compared to artifacts created using traditional parametric methods. Results from the CDT show that students’ perception of the difference between traditional and generative design tasks changed significantly after participating in the workshop."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/127414"],"dc:language":["eng","en"],"dc:rights":["Copyright 2024 Aidan Hall"],"dc:subject":["Engineering Design","Generative Design","Cad Artifact Evaluation","Design Cognition"],"dc:title":["Traditional vs. generative design: How design tools impact cad artifact quality and student perception of design concepts"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Systems & Entrepreneurial Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:04Z"}