Collaborative Research (HBCU-DCL EAGER): Broadening participation and strengthening capacity in interdisciplinary engineering model development

重要的是要了解有色人种的博士学者如何能够在刻板印象威胁可能普遍存在的背景下整合文化认同和自我效能，例如高等教育、STEM项目和密集的研究实验室。这个项目试图识别、理解和描述认同感、自我效能感、模式化形式主义的元认知和刻板印象威胁之间的相互作用。具体地说，目标是了解思维和叙事认同感是如何随着时间的推移而演变的，以及在支持性学术背景下指导有色人种学者的过程如何加强进入教授职位的价值主张。该项目的主要目标是：(1)以协作的方式培养高技能和有竞争力的研究生学者；(2)扩大未被充分代表的少数群体(URM)对工程学教授的参与，特别是非洲裔美国人。该项目的成功将体现在这些学者更多地参与影响较大的活动，如学术出版物、学位进步和申请学术职位。此外，该研究项目将有助于加强机构能力，特别是传统黑人学院/大学(HBCU)的能力。它还将把北卡罗来纳州立大学(一所公立HBCU)和乔治华盛顿大学(一所私立的以白人为主的机构/PWI)的平行努力联系起来。采用准实验设计、前测和后测控制组设计，该研究项目首次尝试在完全沉浸于与NSF的研究及相关活动(R&amp；RA)计划相一致的工程建模中整合预见性认知发展和刻板印象威胁减少。研究人员还将创建一种概念验证，评估不同的适应性学习形式，以确定有效的策略，以帮助学生开发和应用数学模型来解决工程问题。预期认知的作用是在发展和应用基于数学的方法之前影响学生对问题内容的推理。将实施刻板印象最小化教练模式，并将比较两个机构的绩效和社会学习变量(例如，刻板印象威胁、身份认同和工程建模自我效能)。有一种隐含的假设认为，由于机构之间的差异，可能会出现额外的因素。诸如临界质量和社会阶层等新兴因素是可以识别的。教练模式的有效性将通过两个地点的准实验设计、测试前和测试后控制组设计进行评估。在这样做的过程中，拟议的研究项目有两个相伴的努力--一个专注于R&amp；RA项目，以发展工程模型开发方面的主题专业知识，另一个是试点研究，比较干预措施，以优化这些研究生的预期认知，并将刻板印象威胁降至最低。

It is important to understand how doctoral scholars of color are able to integrate cultural identity and self-efficacy in contexts where stereotype threat might be prevalent, such as higher education, STEM programs, and intensive research labs. This project seeks to identify, understand, and describe the interplay between the sense of identity, self-efficacy, metacognition of modeling formalisms, and stereotype threat. Specifically, the goal is to understand how thinking and narrative identity evolve over time and how the process of coaching scholars of color in a supportive academic context might strengthen the value proposition of entering the professoriate. The key objectives of this project are: (1) to implement a collaborative approach to the development of highly skilled and competitive graduate scholars; and (2) to broaden participation among underrepresented minorities (URMs) in the engineering professoriate, with a specific focus on African Americans. Success of the project will be evident by an increased participation of these scholars in high-impact activities such as scholarly publications, progress toward degree, and applying to academic positions. Additionally, this research project will help to strengthen institutional capacities, particularly of a Historically Black College/University (HBCU). It will also link parallel efforts at NC A&T State University (a public HBCU) and George Washington University (a private Predominantly White Institution/PWI). Using a quasi-experimental design, pre- and post-test control group design, the proposed research project is a first attempt to integrate anticipatory cognition development and stereotype threat reduction in full immersion of engineering modeling that aligns with NSF's Research and Related Activities (R&RA) programs. The investigators will also create a proof-of-concept that evaluates different adaptive learning formalisms to identify effective strategies to aid students' capabilities to develop and apply mathematical models for problem solving in engineering. The role of anticipatory cognition is to influence students' reasoning about the problem content prior to the development and application of the mathematics-based approach. A stereotype minimization coaching model will be implemented and performance and social learning variables (e.g., stereotype threats, identity, and engineering modeling self-efficacy) will be compared across both institutions. There is an implicit hypothesis that additional factors may emerge because of the differences between the institutions. Such emerging factors as critical mass and social class may be identified. The effectiveness of the coaching model will be assessed through a quasi-experimental design, pre- and post-test control group design at the two sites. In so doing, the proposed research project has two concomitant efforts - one focused on an R&RA program to develop subject matter expertise in engineering model development, and the other a pilot study to compare an intervention to optimize anticipatory cognition and minimize stereotype threat among these same graduate students.