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HOW ENGINEERING DESIGN STUDENTS' CREATIVE PREFERENCES AND COGNITIVE STYLES IMPACT THEIR CONCEPT GENERATION AND SCREENING

机译:工程设计专业学生的创造力和认知风格如何影响他们的概念生成和筛选

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The flow of creative ideas throughout the engineering design process is essential for innovation. However, few studies have examined how individual traits affect problem-solving behaviors in an engineering design setting. Understanding these behaviors will enable us to guide individuals during the idea generation and concept screening phases of the engineering design process and help support the flow of creative ideas through this process. As a first step towards understanding these behaviors, we conducted an exploratory study with 19 undergraduate engineering students to examine the impact of individual traits, using the Preferences for Creativity Scale (PCS) and Kirton's Adaption-Innovation inventory (KAI), on the creativity of the ideas generated and selected for an engineering design task. The ideas were rated for their creativity, quality, and originality using Amabile's consensual assessment technique. Our results show that the PCS was able to predict students 'propensity for creative concept screening, accounting for 74% of the variation in the model. Specifically, team centrality and influence and risk tolerance significantly contributed to the model. However, PCS was unable to predict idea generation abilities. On the other hand, cognitive style, as measured by KAI, predicted the generation of creative and original ideas, as well as one s propensity for quality concept screening, although the effect sizes were small. Our results provide insights into individual factors impacting undergraduate engineering students' idea generation and selection.
机译:在整个工程设计过程中,创新思想的流动对于创新至关重要。但是,很少有研究检查个体特征如何影响工程设计环境中的解决问题行为。了解这些行为将使我们能够在工程设计过程的概念生成和概念筛选阶段指导个人,并在此过程中帮助支持创意的流动。作为理解这些行为的第一步,我们与19名本科工科学生进行了一项探索性研究,以研究个人特质的影响,使用创造力偏好量表(PCS)和柯顿的适应创新库存(KAI)来研究个体行为的影响。为工程设计任务生成和选择的想法。使用Amabile的自愿评估技术,对这些创意的创意,质量和独创性进行了评级。我们的结果表明,PCS能够预测学生进行创意概念筛选的倾向,占模型变化的74%。具体来说,团队的中心性,影响力和风险承受能力对模型的贡献很大。但是,PCS无法预测创意产生能力。另一方面,由KAI衡量的认知风格可以预测创意和原创思想的产生,以及对质量概念筛选的倾向,尽管效果规模很小。我们的结果提供了对影响本科工程专业学生的思想产生和选择的各个因素的见解。

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