Abstract
As computer-aided design (CAD) tools have become an essential aspect of modern mechanical engineering design, the demand for CAD experts has increased significantly. The development from novice, to proficient, to expert user is of particular interest to the industrial and academic design communities. Yet little is known about the development of modeling choices, strategies, and patterns that characterize expert CAD skills; much of the past work that reports user action data is based on student or novice data. We compared the CAD modeling process across nine proficient and ten expert designers as they were tested to complete the same design task. Under identical conditions—the same time constraints in the same CAD platform and with the same task—the expert users were able to complete a larger proportion of the task with higher dimensional accuracy. While the experts were able to dissect and retrieve geometries from manufacturing drawings more efficiently than proficient users, they were also able to plan a modeling strategy that required less effort and revisions. With our experimental findings, we identify the demand for procedural knowledge-building for young engineers, with the ultimate goal of more effectively developing experts in engineering design with CAD.
Issue Section:
Design Theory and Methodology
References
1.
Stark
, R.
, 2022
, “Major Technology 1: Computer Aided Design—CAD,” Virtual Product Creation in Industry
, Springer
, Berlin/Heidelberg, Germany
, pp. 113
–138
.2.
Robertson
, D.
, and Allen
, T. J.
, 1993
, “CAD System Use and Engineering Performance
,” IEEE Trans. Eng. Manag.
, 40
(3
), pp. 274
–282
. 3.
Eswaran
, M.
, and Bahubalendruni
, M. V. A. R.
, 2022
, “Challenges and Opportunities on AR/VR Technologies for Manufacturing Systems in the Context of Industry 4.0: A State of the Art Review
,” J. Manuf. Syst.
, 65
, pp. 260
–278
. 4.
Bathe
, K.-J.
, and Zhang
, L.
, 2017
, “The Finite Element Method With Overlapping Elements—A New Paradigm for CAD Driven Simulations
,” Comput. Struct.
, 182
, pp. 526
–539
. 5.
Wong
, K. V.
, and Hernandez
, A.
, 2012
, “A Review of Additive Manufacturing
,” ISRN Mech. Eng.
, 2012
, pp. 1
–10
.6.
Rahman
, M. H.
, Schimpf
, C.
, Xie
, C.
, and Sha
, Z.
, 2019
, “A Computer-Aided Design Based Research Platform for Design Thinking Studies
,” ASME J. Mech. Des.
, 141
(12
), p. 121102
. 7.
Deng
, Y.
, Mueller
, M.
, and Shields
, M.
, 2023
, “CAD Challenges App: An Informatics Framework for Parametric Modeling Practice and Research Data Collection in Computer-Aided Design
,” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
, Boston, MA
.8.
Schimpf
, C.
, and Goldstein
, M. H.
, 2022
, “Large Data for Design Research: An Educational Technology Framework for Studying Design Activity Using a Big Data Approach
,” Front. Manuf. Technol.
, 2
, p. 971410
. 9.
Raina
, A.
, McComb
, C.
, and Cagan
, J.
, 2019
, “Learning to Design From Humans: Imitating Human Designers Through Deep Learning
,” ASME J. Mech. Des.
, 141
(11
), p. 111102
. 10.
Xu
, Y.
, 2020
, “Computer-Aided Design of Personalized Recommendation in Teaching System
,” Comput. Aided. Des. Appl.
, 17
(S1
), pp. 44
–56
. 11.
Gao
, W.
, Zhang
, X.
, He
, Q.
, Lin
, B.
, and Huang
, W.
, 2022
, “Command Prediction Based on Early 3D Modeling Design Logs by Deep Neural Networks
,” Autom. Constr.
, 133
, p. 104026
. 12.
Werner Dankwort
, C.
, Weidlich
, R.
, Guenther
, B.
, and Blaurock
, J. E.
, 2004
, “Engineers’ CAx Education—It’s Not Only CAD
,” Comput. Aided. Des.
, 36
(14
), pp. 1439
–1450
. 13.
Ye
, X.
, Peng
, W.
, Chen
, Z.
, and Cai
, Y.-Y.
, 2004
, “Today’s Students, Tomorrow’s Engineers: An Industrial Perspective on CAD Education
,” Comput. Aided Des.
, 36
(14
), pp. 1451
–1460
. 14.
Ericsson
, K. A.
, Prietula
, M. J.
, and Cokely
, E. T.
, 2007
, “The Making of an Expert
,” Harv. Bus. Rev.
, 85
(7
), pp. 114
–121
.15.
Ericsson
, K. A.
, Krampe
, R. T.
, and Tesch-Römer
, C.
, 1993
, “The Role of Deliberate Practice in the Acquisition of Expert Performance
,” Psychol. Rev.
, 100
(3
), pp. 363
–406
. 16.
Plackett
, T. P.
, Brockmeyer
, J. R.
, Holt
, D. B.
, Rush
, R. M.
, Sarkar
, J.
, Satterly
, S. A.
, Seery
, J. M.
, and Zagol
, B. R.
, 2019
, “Achieving Mastery of General Surgery Operative Skill in the Army Healthcare System
,” Mil. Med.
, 184
(3–4
), pp. e279
–e284
. 17.
Cross
, N.
, 2004
, “Expertise in Design: An Overview
,” Des. Stud.
, 25
(5
), pp. 427
–441
. 18.
Rosso
, P.
, Gopsill
, J.
, Burgess
, S.
, and Hicks
, B.
, 2021
, “Investigating and Characterising Variability in CAD Modelling and Its Potential Impact on Editability: An Exploratory Study
,” Comput. Aided Des. Appl.
, 18
(6
), pp. 1306
–1326
. 19.
Rynne
, A.
, and Gaughran
, W.
, 2007
, “Cognitive Modelling Strategies For Optimum Design Intent in Parametric Modelling (PM)
,” 2007 Annual Conference & Exposition Proceedings, ASEE Conferences
, Honolulu, HI
, June 24
, pp. 12.366.1–12.366.15.20.
Camba
, J. D.
, Contero
, M.
, and Company
, P.
, 2016
, “Parametric CAD Modeling: An Analysis of Strategies for Design Reusability
,” Comput. Aided. Des.
, 74
, pp. 18
–31
. 21.
Ahmed
, S.
, Wallace
, K. M.
, and Blessing
, L. T.
, 2003
, “Understanding the Differences Between How Novice and Experienced Designers Approach Design Tasks
,” Res. Eng. Des.
, 14
(1
), pp. 1
–11
. 22.
Kavakli
, M.
, and Gero
, J. S.
, 2003
, “Strategic Knowledge Differences Between an Expert and a Novice Designer,” Human Behaviour in Design
, U.
Lindemann
, ed., Springer
, Berlin/Heidelberg
, pp. 42
–52
.23.
Atman
, C. J.
, Adams
, R. S.
, Cardella
, M. E.
, Turns
, J.
, Mosborg
, S.
, and Saleem
, J.
, 2007
, “Engineering Design Processes: A Comparison of Students and Expert Practitioners
,” J. Eng. Educ.
, 96
(4
), pp. 359
–379
. 24.
Ho
, C.-H.
, 2001
, “Some Phenomena of Problem Decomposition Strategy for Design Thinking: Differences Between Novices and Experts
,” Des. Stud.
, 22
(1
), pp. 27
–45
. 25.
Peng
, X.
, McGary
, P.
, Johnson
, M.
, Yalvac
, B.
, and Ozturk
, E.
, 2012
, “Assessing Novice CAD Model Creation and Alteration
,” Comput. Aided Des. Appl. PACE
, 2
(PACE
), pp. 9
–19
. 26.
Hamade
, R. F.
, 2009
, “Profiling the Desirable CAD Trainee: Technical Background, Personality Attributes, and Learning Preferences
,” ASME J. Mech. Des.
, 131
(12
), p. 121009
. 27.
Lang
, G. T.
, Eberts
, R. E.
, Gabel
, M. G.
, and Barash
, M. M.
, 1991
, “Extracting and Using Procedural Knowledge in a CAD Task
,” IEEE Trans. Eng. Manage.
, 38
(3
), pp. 257
–268
. 28.
Johnson
, M. D.
, and Diwakaran
, R. P.
, 2011
, “An Educational Exercise Examining the Role of Model Attributes on the Creation and Alteration of CAD Models
,” Comput. Educ.
, 57
(2
), pp. 1749
–1761
. 29.
Zhang
, H. Z.
, Xie
, C.
, and Nourian
, S.
, 2018
, “Are Their Designs Iterative or Fixated? Investigating Design Patterns From Student Digital Footprints in Computer-Aided Design Software
,” Int. J. Technol. Des. Educ.
, 28
(3
), pp. 819
–841
. 30.
Stone
, B.
, Salmon
, J.
, Eves
, K.
, Killian
, M.
, Wright
, L.
, Oldroyd
, J.
, Gorrell
, S.
, and Richey
, M. C.
, 2017
, “A Multi-user Computer-Aided Design Competition: Experimental Findings and Analysis of Team-Member Dynamics
,” ASME J. Comput. Inf. Sci. Eng.
, 17
(3
), p. 031003
. 31.
Deng
, Y.
, Marion
, T.
, and Olechowski
, A.
, 2022
, “Does Synchronous Collaboration Improve Collaborative Computer-Aided Design Output: Results From a Large-Scale Competition
,” Volume 6: 34th International Conference on Design Theory and Methodology (DTM)
, St. Louis, MO
, Aug. 14–17
.32.
Ozturk
, E.
, Yalvac
, B.
, Johnson
, M.
, Peng
, X.
, and Liu
, K.
, 2015
, “Adaptive Expertise and Its Manifestation in CAD Modeling: A Comparison of Practitioners and Students
,” 2015 ASEE Annual Conference and Exposition Proceedings, ASEE Conferences
, Seattle, WA
, June 14
.33.
Leonardo
, K.
, and Olechowski
, A.
, 2021
, “Identifying Computer-Aided Design Action Types From Professional User Analytics Data
,” Volume 3B: 47th Design Automation Conference (DAC)
, Virtual, Online
, Aug. 17–19
.34.
“SOLIDWORKS Certification Program.”
Available at: https://www.solidworks.com/solidworks-certification-program. Accessed January 21, 2023.35.
“Autodesk Certification.”
Available at: https://www.autodesk.com/certification/all-certifications. Accessed January 21, 2023.36.
“Certified Onshape Professional.”
Available at: https://learn.onshape.com/courses/certified-onshape-professional, Accessed January 21, 2023.37.
Anderson
, J. R.
, Bothell
, D.
, Byrne
, M. D.
, Douglass
, S.
, Lebiere
, C.
, and Qin
, Y.
, 2004
, “An Integrated Theory of the Mind
,” Psychol. Rev.
, 111
(4
), pp. 1036
–1060
. 38.
Chester
, I.
, 2007
, “Teaching for CAD Expertise
,” Int. J. Technol. Des. Educ.
, 17
(1
), pp. 23
–35
. 39.
Hamade
, R. F.
, Artail
, H. A.
, and Jaber
, M. Y.
, 2007
, “Evaluating the Learning Process of Mechanical CAD Students
,” Comput. Educ.
, 49
(3
), pp. 640
–661
. 40.
Chester
, I.
, 2008
, “3D-CAD: Modern Technology–Outdated Pedagogy?
” Exploring Technology Education: Solutions to Issues in a Globalised World: Proceedings of the 5th Biennial International Conference on Technology Education
, Surfers Paradise, QLD, Australia
.41.
Delahunty
, T.
, Seery
, N.
, Dunbar
, R.
, and Ryan
, M.
, 2020
, “An Exploration of the Variables Contributing to Graphical Education Students’ CAD Modelling Capability
,” Int. J. Technol. Des. Educ.
, 30
(2
), pp. 389
–411
. 42.
Bodein
, Y.
, Rose
, B.
, and Caillaud
, E.
, 2013
, “A Roadmap for Parametric CAD Efficiency in the Automotive Industry
,” Comput. Aided Des.
, 45
(10
), pp. 1198
–1214
. 43.
Bodein
, Y.
, Rose
, B.
, and Caillaud
, E.
, 2014
, “Explicit Reference Modeling Methodology in Parametric CAD System
,” Comput. Ind.
, 65
(1
), pp. 136
–147
. 44.
Otto
, H.
, and Mandorli
, F.
, 2020
, “Parametric Feature-Based Solid Model Deficiency Identification to Support Learning Outcomes Assessment in CAD Education
,” Comput. Aided Des. Appl.
, 18
(2
), pp. 411
–442
. 45.
Garikano
, X.
, Garmendia
, M.
, Manso
, A. P.
, and Solaberrieta
, E.
, 2019
, “Strategic Knowledge-Based Approach for CAD Modelling Learning
,” Int. J. Technol. Des. Educ.
, 29
(4
), pp. 947
–959
. 46.
Huang
, T. C.
, Chen
, M. Y.
, and Lin
, C. Y.
, 2019
, “Exploring the Behavioral Patterns Transformation of Learners in Different 3D Modeling Teaching Strategies
,” Comput. Human Behav.
, 92
, pp. 670
–678
. 47.
Buckley
, J.
, Seery
, N.
, and Canty
, D.
, 2018
, “Heuristics and CAD Modelling: An Examination of Student Behaviour During Problem Solving Episodes Within CAD Modelling Activities
,” Int. J. Technol. Des. Educ.
, 28
(4
), pp. 939
–956
. 48.
Dinar
, M.
, Shah
, J. J.
, Cagan
, J.
, Leifer
, L.
, Linsey
, J.
, Smith
, S. M.
, and Hernandez
, N. V.
, 2015
, “Empirical Studies of Designer Thinking: Past, Present, and Future
,” ASME J. Mech. Des.
, 137
(2
), p. 021101
. 49.
Vieira
, C.
, Hathaway Goldstein
, M.
, Purzer
, Ş
, and Magana
, A. J.
, 2016
, “Using Learning Analytics to Characterize Student Experimentation Strategies in Engineering Design
,” J. Learn. Anal.
, 3
(3
), pp. 291
–317
. 50.
Deng
, Y.
, Mueller
, M.
, Rogers
, C.
, and Olechowski
, A.
, 2022
, “The Multi-user Computer-Aided Design Collaborative Learning Framework
,” Adv. Eng. Inform.
, 51
, p. 101446
. 51.
Gopsill
, J.
, Snider
, C.
, Shi
, L.
, and Hicks
, B.
, 2016
, “Computer Aided Design User Interaction as a Sensor for Monitoring Engineers and the Engineering Design Process
,” Proceedings of International Design Conference, DESIGN, DS. 84
, pp. 1707
–1718
.52.
Xie
, C.
, Zhang
, Z.
, Nourian
, S.
, Pallant
, A.
, and Hazzard
, E.
, 2014
, “Time Series Analysis Method for Assessing Engineering Design Processes Using a CAD Tool
,” Int. J. Eng. Educ.
, 30
(1
), pp. 218
–230
.53.
Xie
, C.
, Zhang
, Z.
, Nourian
, S.
, Pallant
, A.
, and Bailey
, S.
, 2014
, “On the Instructional Sensitivity of CAD Logs
,” Int. J. Eng. Educ.
, 30
(4
), pp. 760
–778
.54.
McComb
, C.
, Cagan
, J.
, and Kotovsky
, K.
, 2017
, “Capturing Human Sequence-Learning Abilities in Configuration Design Tasks Through Markov Chains
,” ASME J. Mech. Des.
, 139
(9
), p. 091101
. 55.
McComb
, C.
, Cagan
, J.
, and Kotovsky
, K.
, 2017
, “Mining Process Heuristics From Designer Action Data Via Hidden Markov Models
,” ASME J. Mech. Des.
, 139
(11
), p. 111412
. 56.
Rahman
, M. H.
, Yuan
, S.
, Xie
, C.
, and Sha
, Z.
, 2020
, “Predicting Human Design Decisions With Deep Recurrent Neural Network Combining Static and Dynamic Data
,” Des. Sci.
, 6
(E15
). 57.
Rahman
, M. H.
, Xie
, C.
, and Sha
, Z.
, 2021
, “Predicting Sequential Design Decisions Using the Function-Behavior-Structure Design Process Model and Recurrent Neural Networks
,” ASME J. Mech. Des.
, 143
(8
), p. 081706
. 58.
Xing
, W.
, Li
, C.
, Chen
, G.
, Huang
, X.
, Chao
, J.
, Massicotte
, J.
, and Xie
, C.
, 2021
, “Automatic Assessment of Students’ Engineering Design Performance Using a Bayesian Network Model
,” J. Edu. Comput. Res.
, 59
(2
), pp. 230
–256
. 59.
Rabiner
, L. R.
, 1989
, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
,” Proc. IEEE
, 77
(2
), pp. 257
–286
. 60.
Visser
, W.
, 1990
, “More or Less Following a Plan During Design: Opportunistic Deviations in Specification
,” Int. J. Man. Mach. Stud.
, 33
(3
), pp. 247
–278
. 61.
Kruger
, J.
, and Dunning
, D.
, 1999
, “Unskilled and Unaware of It: How Difficulties in Recognizing One’s Own Incompetence Lead to Inflated Self-Assessments
,” J. Pers. Soc. Psychol.
, 77
(6
), pp. 1121
–1134
. 62.
Branoff
, T.
, and Dobelis
, M.
, 2014
, “Relationship Between Students’ Spatial Visualization Ability and Their Ability to Create 3-D Constraint-Based Models From Various Types of Drawings
,” ASEE Annual Conference & Exposition Proceedings, ASEE Conferences
, Indianapolis, IN
, June 15
, pp. 24.1038.1–24.1038.14.63.
Kösa
, T.
, and Karakuş
, F.
, 2018
, “The Effects of Computer-Aided Design Software on Engineering Students’ Spatial Visualisation Skills
,” Eur. J. Eng. Educ.
, 43
(2
), pp. 296
–308
. 64.
Lawton
, C. A.
, and Abilities
, S.
, 2010
, Handbook of Gender Research in Psychology
, Springer New York
, New York
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