Comparing student and sponsor perceptions of interdisciplinary teams' capstone performance

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this work is to investigate the relationship between the disciplinary diversity of capstone design teams and perceptions of success and engineering design abilities. Capstone design programs are effective environments for students to collaborate with industry sponsors on authentic design problems. They provide students with the opportunity to hone their technical and professional skills, often in teams. Previous work has demonstrated that interdisciplinary teams outperform within-discipline teams on complex open-ended tasks, but struggle to communicate across disciplinary boundaries. They also report lower levels of team cohesion and satisfaction with final outcomes. The results of the mixedmethods study conducted with 58 capstone design teams for this paper indicate that team diversity may be inversely related to students' beliefs in their abilities to construct a prototype. Preliminary qualitative analysis suggests that students tend to divide prototyping tasks based on disciplinary background and struggle to integrate design efforts for complex systems, particularly during later stage design.

Original languageEnglish (US)
Title of host publication17th International Conference on Design Education (DEC)
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791883921
DOIs
StatePublished - 2020
EventASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020 - Virtual, Online
Duration: Aug 17 2020Aug 19 2020

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume3

Conference

ConferenceASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020
CityVirtual, Online
Period8/17/208/19/20

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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