Critical Data Science Methods to Broaden Capacity in STEM Education Research

扩大 STEM 教育研究能力的关键数据科学方法

• 批准号: 2321179
• 负责人: Odis Johnson
• 金额: $ 99.96万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321179&HistoricalAwards=false
• 关键词: Critical; Data; Science; Methods; Broaden

This project extends the training and community building activities of the Institute in Critical Quantitative, Computational, and Mixed Methods (ICQCM), a data science training institute established in 2019. The project seeks to increase the number of faculty and postdoctoral researchers who utilize quantitative and computational research methods in research on populations underrepresented in science, technology, engineering, and mathematics (STEM) fields of study. The goals are to enable participants at the Institute to incorporate quantitative and computational methods in conceptualizing research projects, establish collaborative networks of quantitative and computational research practitioners, and affirm self-efficacy of researchers who are themselves underrepresented in the field through culturally relevant, asset-focused training opportunities. The use of critical perspectives in race/ethnicity responds to a need for more scholars to bring these perspectives to quantitative research to complement the larger number who already routinely do so for qualitative research.The Institute aims to provide a continuum of training, individual coaching, and proposal development workshops. Towards this goal the project team will pursue four objectives. First is to conduct an assets assessment of a cohort of 25 new ICQCM scholars for training, with a special effort to recruit participants from minority serving institutions. Second is to provide both in-person and virtual data-intensive training in quantitative and computational methods and their integration into mixed methods. Third is to expand the pool of ICQCM Institute Fellows to provide additional networking opportunities. Fourth, and finally, is to expand the ICQCM Knowledge Repository to include Continuing Education Modules toward professional certification in critical quantitative and computational methodologies. The curriculum will have a dual focus on methodological knowledge and specialization and a critical perspective on the use of quantitative and computational methods for research on broadening participation. Topics will include broadening participation frameworks, research design, fundamentals of quantitative methods, and grant proposal development. The Institute is expected to stimulate more researchers from groups that are underrepresented in the field to employ quantitative and computational methods in STEM education research. The project is supported by NSF's EDU Core Research Building Capacity in STEM Education Research (ECR: BCSER) program, which is designed to build investigators’ capacity to carry out high-quality STEM education research.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.

该项目扩展了关键定量、计算和混合方法研究所（ICQCM）的培训和社区建设活动，ICQCM是一家成立于2019年的数据科学培训机构。该项目旨在增加教师和博士后研究人员的数量，他们利用定量和计算研究方法研究科学、技术、工程和数学（STEM）研究领域中代表性不足的人群。目标是使研究所的参与者能够将定量和计算方法纳入研究项目的概念化，建立定量和计算研究实践者的合作网络，并通过与文化相关的、以资产为重点的培训机会，确认在该领域代表性不足的研究人员的自我效能。在种族/民族中使用批判性视角回应了对更多学者将这些视角引入定量研究的需求，以补充已经经常进行定性研究的大量学者。该研究所旨在提供连续的培训、个人指导和提案开发研讨会。为了实现这个目标，项目团队将追求四个目标。首先是对25名ICQCM新培训学者进行资产评估，并特别努力从少数民族服务机构招募参与者。第二是提供面对面和虚拟的数据密集型培训，学习定量和计算方法，并将它们整合到混合方法中。第三，扩大ICQCM研究所研究员的数量，提供更多的交流机会。第四，也是最后一点，是扩展ICQCM知识库，将继续教育模块纳入关键定量和计算方法的专业认证。该课程将侧重于方法论知识和专业化，以及对使用定量和计算方法进行扩大参与研究的批判性观点。主题将包括扩大参与框架，研究设计，定量方法的基础，以及拨款提案的发展。预计该研究所将激励更多来自该领域代表性不足的群体的研究人员在STEM教育研究中采用定量和计算方法。该项目得到了美国国家科学基金会EDU STEM教育研究核心研究能力建设（ECR: BCSER）项目的支持，该项目旨在培养研究者开展高质量STEM教育研究的能力。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。