Exploring the Role of Computational Adaptive Expertise in Design and Innovation

探索计算自适应专业知识在设计和创新中的作用

• 批准号: 0648316
• 负责人: Ann McKenna
• 金额: --
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-01 至 2011-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0648316&HistoricalAwards=false
• 关键词: Exploring; Role; Computational; Adaptive; Expertise

TThe objective of this engineering education project is to advance both basic and applied understanding of how to prepare engineering graduates to effectively and efficiently contribute to America's leadership in technological innovation. The PIs propose to study the role that computational and analytical abilities play in innovation in the context of a conceptual framework that has recently emerged in the engineering education literature: adaptive expertise.Adaptive expertise is an emerging area of research on learning that has shown promise in providing enhanced understanding of transfer of knowledge issues. It is a critical area of research that directly relates to U.S. global competitiveness through improving understanding of what is required to train innovative and efficient problem solvers who can transcend narrow disciplinary fields. The PIs plan to perform fundamental research with the intent to inform the practice of teaching and learning. They hypothesize that the general model of adaptive expertise can be applied specifically to characterize the attributes of efficiency and innovation in the context of developing CADEX. Therefore, they plan to focus on basic research to understand the nature of CADEX and to define the efficiency and innovation axes in terms of the underlying cognitive or affective attributes of each. This approach allows them to uncover how innovation and efficiency may be conceived more broadly, while at the same time enables us to define terms specifically in the context of CADEX. The advantage of combining fundamental and applied research is that the PIs not only identify cognitive aspects of computational adaptive expertise and potentially effective instructional strategies, they will also verify and test their findings in actual educational settings.The research will benefit society by providing recommendations for instructional and assessment strategies to develop competencies required for technological innovation. These are essential skills in today's competitive economy and thus will enhance the United States' industrial competitiveness by producing graduates poised with cognitive strategies for developing efficient and effective design solutions.

该工程教育项目的目标是增进对如何培养工程毕业生有效和高效地为美国在技术创新领域的领导地位做出贡献的基本和应用理解。 PI 提议在工程教育文献中最近出现的概念框架（适应性专业知识）的背景下研究计算和分析能力在创新中发挥的作用。适应性专业知识是学习研究的一个新兴领域，在增强对知识转移问题的理解。这是一个关键的研究领域，通过提高对培养能够超越狭窄学科领域的创新和高效的问题解决者所需的知识的理解，与美国的全球竞争力直接相关。 PI 计划开展基础研究，旨在为教学实践提供信息。他们假设适应性专业知识的一般模型可以专门应用于描述开发 CADEX 背景下的效率和创新属性。因此，他们计划专注于基础研究，以了解 CADEX 的本质，并根据每个轴的潜在认知或情感属性来定义效率和创新轴。这种方法使他们能够揭示如何更广泛地构思创新和效率，同时使我们能够在 CADEX 背景下专门定义术语。基础研究和应用研究相结合的优势在于，PI 不仅可以识别计算适应性专业知识的认知方面和潜在有效的教学策略，他们还将在实际教育环境中验证和测试他们的发现。该研究将通过为教学提供建议来造福社会。发展技术创新所需能力的评估策略。这些是当今竞争激烈的经济中的基本技能，因此将通过培养具备开发高效设计解决方案的认知策略的毕业生来增强美国的工业竞争力。