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.

该项目扩展了该研究所在关键定量、计算和混合方法(ICQCM)方面的培训和社区建设活动，ICQCM是2019年成立的数据科学培训研究所。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。其目标是使研究所的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人员的合作网络，并通过与文化相关的、侧重于资产的培训机会，肯定本身在该领域代表性不足的研究人员的自我效能。在种族/民族中使用批判性观点回应了更多学者将这些观点应用于定量研究的需要，以补充已经在定性研究中常规这样做的更多人。研究所的目标是提供连续的培训、个人指导和提案开发研讨会。为了实现这一目标，项目组将追求四个目标。首先是对25名国际古迹遗址理事会新学者进行资产评估，以进行培训，特别是从少数族裔服务机构招募参与者。第二是提供面对面和虚拟数据强化的定量和计算方法培训，并将其整合到混合方法中。第三是扩大ICQCM研究所的研究员队伍，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。该课程将同时注重方法学知识和专业化，并从批判性的角度研究如何使用定量和计算方法来研究扩大参与度。主题将包括扩大参与框架，研究设计，量化方法的基本原理，以及赠款提案的制定。预计研究所将鼓励更多来自该领域代表性不足的群体的研究人员在STEM教育研究中采用量化和计算方法。该项目得到了NSF的STEM教育研究EDU核心研究能力建设计划(ECR：BCSER)的支持，该计划旨在建设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优势和更广泛的影响审查标准进行评估，被认为值得支持。