MODELLING AND PROFILING STUDENT DESIGNERS’ COGNITIVE COMPETENCIES IN COMPUTER-AIDED DESIGN

MODELLING AND PROFILING STUDENT DESIGNERS’ COGNITIVE COMPETENCIES IN COMPUTER-AIDED DESIGN
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对学生设计师的计算机辅助设计认知能力进行建模和分析

DOI:
10.1017/pds.2021.477
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发表时间:
2021
期刊:
Proceedings of the Design Society
影响因子:
--
通讯作者:
Sha, Zhenghui
Sha, Zhenghui
中科院分区:
--
文献类型:
--
作者:
Clay, John;Li, Xingang;Rahman, Molla Hafizur;Zabelina, Darya;Xie, Charles;Sha, Zhenghui

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有三种方法可以研究设计师--通过他们的认知概况、设计行为和设计人工制品(例如,质量)。然而,过去的工作很少将这三个数据域放在一起考虑。在这里,我们介绍和描述了一个全面的工程设计方法的框架,并讨论了这些见解如何可能有助于工程设计研究和教育。为了验证所提出的框架,我们以一个太阳能系统设计问题为例进行了实证研究。46名工科学生参加了为期一周的计算机辅助设计挑战,评估了他们的设计行为和艺术品,并完成了一系列心理测试,以衡量认知能力。使用由k-均值、层次和谱聚类组成的机器学习方法,根据心理测试中的相似性对设计师进行分组。设计师群体在顺序设计行为上存在显著差异,这表明设计师的认知特征与他们参与设计过程的方式有关。
There are three approaches to studying designers – through their cognitive profile, design behaviors, and design artifacts (e.g., quality). However, past work has rarely considered all three data domains together. Here we introduce and describe a framework for a comprehensive approach to engineering design, and discuss how the insights may benefit engineering design research and education. To demonstrate the proposed framework, we conducted an empirical study with a solar energy system design problem. Forty-six engineering students engaged in a week-long computer-aided design challenge that assessed their design behavior and artifacts, and completed a set of psychological tests to measure cognitive competencies. Using a machine learning approach consisting of k-means, hierarchical, and spectral clustering, designers were grouped by similarities on the psychological tests. Significant differences were revealed between designer groups in their sequential design behavior, suggesting that a designer's cognitive profile is related to how they engage in the design process.
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影响因子: --
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