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，该研究所是2019年成立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。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合作网络，并通过文化相关的，以资产为重点的培训机会，肯定在该领域代表性不足的研究人员的自我效能。在种族/民族的关键观点的使用响应需要更多的学者把这些观点定量研究，以补充谁已经经常这样做定性research.The研究所的目的是提供一个连续的培训，个别辅导，并提出发展研讨会。为了实现这一目标，项目小组将努力实现四个目标。首先是对一批25名新的国际质量管理委员会学者进行资产评估，特别努力从少数民族服务中招募参与者 机构职能体系第二是提供定量和计算方法方面的面对面和虚拟数据密集型培训，并将其纳入混合方法。第三，扩大质量管理理事会研究所研究员的人才库，以提供更多的联网机会。第四，也是最后一点，是扩大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。该课程将有一个双重重点的方法论知识和专业化和使用定量和计算方法的研究扩大参与的关键角度。主题将包括扩大参与框架，研究设计，定量方法的基本原理，和赠款提案的发展。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NSF的EDU Core Research Building Capacity in STEM Education Research（ECR：BCSER）项目的支持，该项目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，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。