Institute in Critical Quantitative, Computational, and Mixed Methods Training For Underrepresented Scholars

该项目由华盛顿大学牵头，范德比尔特大学和宾夕法尼亚大学共同努力，为代表不足的学者建立一个关键的定量、计算和混合方法培训研究所。它的目的是减少利用定量和计算研究方法和技术的代表不足的学者数量的差距。目标是使参与者能够将量化和计算方法纳入研究项目的概念化，建立量化和计算研究从业者的合作网络，并通过与文化相关的、以资产为重点的培训机会确认代表性不足的教师的自我效能。在种族/族裔中使用批判性观点回应了更多代表不足的学者在研究中实践批判性定量方法的需要，以补充更多实行批判性定性方法的学者。研究所将提供连续的培训、个人辅导和后续提案制定研讨会。项目组将对20名研究人员进行资产评估，这些研究人员主要是少数群体服务机构的教员，他们被招募为研究员，以确定他们的基线需求。研究所将主办一次为期五天的首脑会议，以(1)确定在使用量化和计算方法关键地解决种族问题和扩大对数据科学和分析的参与方面可能出现的紧张和变革性做法，以及(2)举办数据密集型方法研讨会。该课程将把重点放在核心方法知识和专业化上，并从批判性的角度着眼于使用定量和计算方法来研究扩大参与度。主题将包括批判性理论、研究设计、量化方法的基本原理和拨款提案的制定。预计该研究所将鼓励更多代表性不足的研究人员在STEM教育研究中采用量化和计算方法。该项目由EHR核心研究：STEM教育研究能力建设(EHR：BCSER)竞赛支持，该竞赛旨在培养个人在STEM学习和学习环境中开展高质量基础STEM教育研究的能力，扩大对STEM领域的参与，以及STEM劳动力发展。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The project is a collaborative effort lead by Washington University and involving Vanderbilt University, and the University of Pennsylvania to establish an Institute in Critical Quantitative, Computational, and Mixed Methods Training for Underrepresented Scholars. It is designed to mitigate the disparities in the number of underrepresented scholars that utilize quantitative and computational research methods and techniques. The goals are to enable participants to incorporate quantitative and computational methods in conceptualizing research projects, establish collaborative networks of quantitative and computational research practitioners, and affirm self-efficacy of underrepresented faculty through culturally relevant, asset-focused training opportunities. The use of critical perspectives in race/ethnicity responds to a need for more underrepresented scholars to practice critical quantitative approaches in research to complement the larger number who practice critical qualitative approaches.The Institute will provide a continuum of training, individual coaching, and a follow-up proposal development workshop. The project team will conduct an assets assessment of 20 researchers, primarily faculty at minority-serving institutions, recruited to serve as Fellows to establish their baseline needs. The Institute will host a five-day summit to (1) identify possible tensions and transformative practices in using quantitative and computational methods to critically address race and broadening participation in data science and analysis and (2) conduct seminars in data-intensive methods. The curriculum will have a dual focus on core methodological knowledge and specialization and a critical perspective on the use of quantitative and computational methods for research on broadening participation. Topics will include critical theory, research design, fundamentals of quantitative methods, and grant proposal development. The Institute is expected to stimulate more underrepresented researchers to employ quantitative and computational methods in STEM education research. The project is supported through the EHR Core Research: Building capacity in STEM Education Research (EHR: BCSER) competition that is designed to build individuals' capacity to carry out high quality fundamental STEM education research in STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.