Fifteen groups composed of engineering students and professionals were videotaped while performing a simulated design task. Using interaction analysis, it was found that professional teams were more likely to engage in management activities, outline an overall design philosophy, and not overlook detailed specifications. Professional teams also adhered tentatively to the early design artifacts; early design attempts were viewed as experiments for acquiring more information about the design space. Student teams were much more likely to engage in a generate and test pattern throughout their design process, making incremental improvements to their current artifact. Although the number of groups was small, these patterns were strong and the differences were statistically significant. It is suggested that these differences are useful for guiding how engineers are educated and for understanding whether students should be used as experimental subjects in engineering design research.
Skip Nav Destination
Article navigation
December 1998
Research Papers
An Observational Study of Design Team Process: A Comparison of Student and Professional Engineers
R. P. Smith,
R. P. Smith
Industrial Engineering, University of Washington, Seattle, Washington
Search for other works by this author on:
A. Leong
A. Leong
Industrial Engineering, University of Washington, Seattle, Washington
Search for other works by this author on:
R. P. Smith
Industrial Engineering, University of Washington, Seattle, Washington
A. Leong
Industrial Engineering, University of Washington, Seattle, Washington
J. Mech. Des. Dec 1998, 120(4): 636-642 (7 pages)
Published Online: December 1, 1998
Article history
Received:
May 1, 1997
Revised:
July 1, 1998
Online:
December 11, 2007
Citation
Smith, R. P., and Leong, A. (December 1, 1998). "An Observational Study of Design Team Process: A Comparison of Student and Professional Engineers." ASME. J. Mech. Des. December 1998; 120(4): 636–642. https://doi.org/10.1115/1.2829326
Download citation file:
Get Email Alerts
Large Language Models for Predicting Empathic Accuracy Between a Designer and a User
J. Mech. Des (April 2025)
Repurposing as a Decommissioning Strategy for Complex Systems: A Systematic Review
J. Mech. Des (May 2025)
A Dataset Generation Framework for Symmetry-Induced Mechanical Metamaterials
J. Mech. Des (April 2025)
Related Articles
Editorial
J. Mech. Des (June,2007)
Improving Biomedical Engineering Education Through Continuity in Adaptive, Experiential, and Interdisciplinary Learning Environments
J Biomech Eng (August,2018)
Engineering with a Conscience
Mechanical Engineering (April,2004)
Engaging Children in Engineering Design Through Popular Media
J. Mech. Des (May,2006)
Related Proceedings Papers
Related Chapters
Development of Electronic Learning Industrial Environment (eLIN) System for Requirement Engineering Education
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
Usage of Revision Control Tools in Capstone Senior Design Courses
Advances in Multidisciplinary Engineering
Producibility Engineering
Manufacturing Engineering: Principles for Optimization, Third Edition