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 是一家于 2019 年成立的数据科学培训机构。该项目旨在增加利用定量和计算研究方法对科学、技术、工程和数学 (STEM) 研究领域中代表性不足的人群进行研究的教师和博士后研究人员的数量。其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从业者的协作网络，并通过文化相关的、以资产为中心的培训机会，肯定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引入定量研究的需要，以补充大量已经常规进行定性研究的学者。该研究所旨在提供连续的培训、个人辅导和提案制定研讨会。为了实现这一目标，项目团队将追求四个目标。首先是对25名新的ICQCM学者进行培训资产评估，特别是从少数民族服务机构中招募参与者。其次是提供定量和计算方法及其与混合方法的整合方面的面对面和虚拟数据密集型培训。第三是扩大 ICQCM 研究所研究员的人才库，以提供更多的交流机会。第四，也是最后一点，是扩展 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。该课程将双重关注方法论知识和专业化，以及使用定量和计算方法进行扩大参与研究的批判性视角。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。该研究所预计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 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开展高质量 STEM 教育研究的能力。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。