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- Title
Data-enabled cognitive modeling: Validating student engineers' fuzzy design-based decision-making in a virtual design problem.
- Authors
Arastoopour Irgens, Golnaz; Chesler, Naomi C.; Linderoth, Jeffrey T.; Williamson Shaffer, David
- Abstract
The ability of future engineering professionals to solve complex real-world problems depends on their design education and training. Because engineers engage with open-ended problems in which there are unknown parameters and multiple competing objectives, they engage in fuzzy decision-making, a method of making decisions that takes into account inherent imprecisions and uncertainties in the real world. In the design-based decision-making field, few studies have applied fuzzy decision-making models to actual decision-making process data. Thus, in this study, we use datasets on student decision-making processes to validate approximate fuzzy models of student decision-making, which we call data-enabled cognitive modeling. The results of this study (1) show that simulated design problems provide rich datasets that enable analysis of student design decision-making and (2) validate models of student design cognition that can inform future design curricula and help educators understand how students think about design problems.
- Subjects
ENGINEERING education in universities &; colleges; ENGINEERS; DECISION making; VIRTUAL design; FUZZY algorithms
- Publication
Computer Applications in Engineering Education, 2017, Vol 25, Issue 6, p1001
- ISSN
1061-3773
- Publication type
Article
- DOI
10.1002/cae.21851