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 是一家数据科学培训机构，成立于 2019 年。该项目旨在增加利用定量和混合方法的教师和博士后研究人员的数量。针对科学、技术、工程和数学 (STEM) 研究领域代表性不足的人群的计算研究方法 目标是使研究所的参与者能够将定量和计算方法纳入概念化研究项目，建立定量协作网络。和计算研究从业者，并通过文化相关的、以资产为中心的培训机会，肯定了在该领域代表性不足的研究人员的自我效能。在种族/族裔中使用批判性观点满足了更多学者将这些观点带入社会的需要。研究所旨在提供连续的培训、个人定量指导和提案制定研讨会，以实现这一目标，项目团队将追求四个目标。群组资产评估25 名新的 ICQCM 学者进行培训，特别是从少数族裔服务机构招募参与者。第四，最后一点是扩大 ICQCM 知识库，纳入关键定量和计算方法专业认证的继续教育模块。主题将包括扩大参与框架、研究设计、定量方法的基础知识和资助提案的制定，以促进更多研究人员的参与。在 STEM 教育研究中采用定量和计算方法的领域代表性不足 该项目得到了 NSF 的 STEM 教育研究 EDU 核心研究能力建设 (ECR: BCSER) 计划的支持，该计划旨在培养研究人员的执行能力。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。