Collaborative Research: Advanced Quantitative and Computational Methods for STEM Education Research

合作研究：STEM 教育研究的先进定量和计算方法

• 批准号: 2025259
• 负责人: Guanglei Hong
• 金额: $ 77.28万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025259&HistoricalAwards=false
• 关键词: Collaborative; Research; Advanced; Quantitative; Computational

The goals of this capacity building institute are (a) to introduce participants to rigorous and novel applications of advanced methods to STEM education research, (b) to provide them with continuous methodological support in research planning, data analysis, and publication, and (c) to create a community that prepares emerging scholars for taking leadership in advancing STEM education research. This capacity building award initiates an institute in quantitative and computational methods for STEM education research through a collaboration between researchers at the University of Chicago and those at Michigan State University. Through launching a national campaign of recruitment, the team will select a diverse cohort of NSF Fellows of STEM Education Research among early- and mid-career scholars, especially those from under-represented backgrounds. Instructors and Fellows will critically evaluate existing STEM education research throughout six courses over the summers in year 1 and year 2. Institute training will focus on (1) research designs and causal inference, (2) measurement, (3) social network analysis, (4) multilevel modeling, (5) causal mediation analysis, and (6) computational methods for analyzing qualitative and social media data. Structured discussions of Fellows’ ongoing studies will be supplemented by guest speaker presentations and round-table discussions. Fellows will present their capstone projects and further develop research collaborations in the summer of year 3. A customized website will disseminate to the broader STEM education research community.This research institute is funded by ECR (the core research program of the Education and Human Resources directorate) and attends specifically to critical aspects in research capacity building.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.

这个能力建设研究所的目标是(a)向参与者介绍先进方法在STEM教育研究中的严格和新颖的应用，(b)在研究规划、数据分析和出版方面为他们提供持续的方法支持，以及(c)创建一个社区，为新兴学者在推进STEM教育研究方面发挥领导作用做好准备。通过芝加哥大学和密歇根州立大学的研究人员之间的合作，该能力建设奖启动了一个用于STEM教育研究的定量和计算方法研究所。通过发起一项全国性的招聘活动，该团队将在早期和中期职业学者中，特别是那些来自代表性不足背景的学者中，选择一个多样化的NSF STEM教育研究研究员群体。导师和研究员将在第一年和第二年的夏季对现有的六门课程进行批判性评估。研究所培训将侧重于(1)研究设计和因果推理，(2)测量，(3)社会网络分析，(4)多层次建模，(5)因果中介分析，以及(6)分析定性和社交媒体数据的计算方法。对研究员正在进行的研究进行有组织的讨论，将辅以嘉宾演讲和圆桌讨论。获奖者将在第三年夏季展示他们的顶尖项目，并进一步发展研究合作。一个定制的网站将传播到更广泛的STEM教育研究界。该研究所由ECR（教育和人力资源理事会的核心研究计划）资助，专门关注研究能力建设的关键方面。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。