Exploring the Role of Computational Adaptive Expertise in Design and Innovation

这个工程教育项目的目标是推进如何准备工程毕业生有效和高效地促进美国在技术创新的领导地位的基本和应用的理解。PI建议研究的作用，计算和分析能力发挥创新的概念框架，最近出现在工程教育literature：adaptive expertise.Adaptive expertise是一个新兴的学习研究领域，已显示出承诺，在提供更好的理解知识转移的问题。这是一个重要的研究领域，直接关系到美国的全球竞争力，通过提高对培养能够超越狭窄学科领域的创新和高效问题解决者所需的理解。PI计划进行基础研究，旨在为教学和学习实践提供信息。他们假设，一般模型的适应性专门知识，可以具体应用于开发CADEX的背景下，效率和创新的属性的特点。因此，他们计划专注于基础研究，以了解CADEX的性质，并根据每个人的基本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的背景下定义特定的术语。将基础研究与应用研究相结合的优势在于，PI不仅可以识别计算自适应专业知识的认知方面和潜在有效的教学策略，还可以在实际的教育环境中验证和测试他们的研究结果。研究将通过提供教学和评估策略的建议来造福社会，以培养技术创新所需的能力。这些都是当今竞争激烈的经济中的基本技能，因此将通过培养具有开发高效和有效设计解决方案的认知策略的毕业生来提高美国的工业竞争力。

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.