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validating the value proposition of engineering design problems through quantitative analysis

机译:通过定量分析验证工程设计问题的价值主张

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摘要

The purpose of this article is to provide educators with resources to help students establish a deeper understanding of the application and role of statistical analysis within the design and innovation process. Quantitative analyses are often taught and applied through design activities, especially during testing or experimenting phases of design. However, we posit that quantitative analytics and statistical procedures are also extremely useful during the early phases of the design process (i.e., problem validation, customer analysis, problem framing). Also, we believe that when quantitative analyses are conducted within the early stages of design, the related engineering concepts are more closely connected to the human element of design. This can potentially provide more culturally relevant and authentic contexts for students to learn essential engineering concepts and skills such as the proper application of statistics to validate a problem or the economic feasibility of potential design solutions.
机译:本文的目的是为教育工作者提供资源,以帮助学生更深入地了解统计分析在设计和创新过程中的应用和作用。定量分析通常通过设计活动进行教授和应用,尤其是在设计的测试或试验阶段。但是,我们认为定量分析和统计程序在设计过程的早期阶段(即问题验证,客户分析,问题框架)也非常有用。此外,我们相信,在设计的早期阶段进行定量分析时,相关的工程概念与设计的人为因素会更加紧密地联系在一起。这可能为学生提供更多与文化相关的真实环境,以供学生学习基本的工程概念和技能,例如正确应用统计数据以验证问题或潜在设计解决方案的经济可行性。

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  • 来源
    《Technology and engineering teacher》 |2018年第2期|32-37|共6页
  • 作者单位

    Purdue Polytechnic Institute at Purdue University, located in West Lafayette, IN;

    Department of Integrative-STEM (i-STEM) Education,Center for Excellence in STEM Education at the College of New Jersey, located in Ewing, New Jersey;

    Engineering Program at the Governor's STEM Academy@BCAT, located in Roanoke, Virginia;

    Technology Leadership and Innovation at Purdue University;

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