Modules for Statistics Graduate Teaching Assistants Learning to Teach Equitably with Authentic Data

统计学研究生助教学习如何使用真实数据进行公平教学的模块

• 批准号: 2315434
• 负责人: Sunghwan Byun
• 金额: $ 27.55万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-15 至 2026-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2315434&HistoricalAwards=false
• 关键词: Modules; Statistics; Graduate; Teaching; Assistants

This project aims to serve the national interest by designing and assessing resources for statistics graduate teaching assistants (GTAs). An overall goal is for GTAs to teach equitably with authentic data. Reforming introductory statistics is becoming increasingly important since statistical thinking plays a key role in harnessing the data revolution in a wide range of workplaces and in a variety of disciplines. Despite a call for introductory statistics instruction that: (1) integrates real data with a context and a purpose, (2) teaches statistics as an investigative process, and (3) fosters active learning, many statistics teaching practices are inconsistent with these recommendations. Instead, statistics courses often focus on procedural skills, which may not lead to meaningful understanding of the power of statistical modeling and concepts in authentic contexts. This project will address the urgent need to improve introductory statistics instruction by designing and implementing a set of modules for discipline-specific professional development for statistics GTAs. The significant outcomes of this project could include the development of GTAs who teach equitably with authentic data, as well as advancement of the current understanding of teacher learning of GTAs in professional community settings.Guided by a design and development research approach, the project will: (1) design a set of four research-informed modules for statistics GTAs learning to teach equitably with authentic data (LEAD Modules), (2) implement LEAD Modules with two GTA communities teaching introductory statistics courses at North Carolina State University and Michigan State University, and (3) further refine LEAD Modules based on design-based research that examines GTA development and their communities. LEAD Modules focus on: (a) teaching statistical thinking, (b) facilitating the model "launch, explore, and discuss," (c) enacting teacher discourse moves, and (d) promoting participatory equity. By drawing on the interdisciplinary expertise of the principal investigators, the project infuses knowledge bases and resources from statistics education and teacher education to support statistics GTAs' learning to teach equitably with authentic data. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.

该项目旨在通过设计和评估统计学研究生助教资源来服务于国家利益。一个总体目标是让GTA用真实的数据公平地教学。改革入门统计正变得越来越重要，因为统计思维在广泛的工作场所和各种学科中利用数据革命方面发挥着关键作用。尽管要求统计学入门教学：（1）将真实的数据与背景和目的相结合，（2）将统计学作为一种调查过程进行教学，（3）促进主动学习，但许多统计学教学实践与这些建议不一致。相反，统计学课程往往侧重于程序技能，这可能不会导致有意义的理解统计建模和概念在真实环境中的力量。该项目将通过设计和实施一套用于统计一般临时助理的特定学科专业发展模块，解决改进入门统计教学的迫切需要。该项目的重要成果包括培养能够以真实数据公平教学的GTA，以及提高目前对专业社区环境中GTA教师学习的理解。在设计和开发研究方法的指导下，该项目将：（1）设计一套四个基于研究的模块，供一般临时助理学习用真实数据公平教学（2）在北卡罗来纳州州立大学和密歇根州州立大学的两个GTA社区实施LEAD模块，教授入门统计课程，以及（3）进一步完善基于设计的研究，检查GTA的发展及其社区的LEAD模块。领导能力模块侧重于：（a）教授统计思维，（B）促进“启动、探索和讨论”模式，（c）制定教师话语动作，（d）促进参与公平。该项目利用主要调查人员的跨学科专门知识，注入了统计教育和教师教育的知识基础和资源，以支持统计GTA学习如何用真实数据公平地教学。NSF IUSE：EDU计划支持研究和开发项目，以提高所有学生STEM教育的有效性。该奖项反映了NSF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。