Supporting the Development of Mathematics Preservice Teachers’ Critical Consciousness through Statistical Investigations of Systemic Racism
Supporting the Development of Mathematics Preservice Teachers’ Critical Consciousness through Statistical Investigations of Systemic Racism
批准号:
2121364
负责人:
Anthony Fernandes
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30
中文摘要
该项目旨在通过改进数学和统计教育课程来服务于国家利益。作为IUSE参与式学生学习一级项目,它汇集了一个跨机构团队设计和实施两个模块,以促进统计推理,使用来自交通站点的真实交通数据和来自纪律案例的学校行政数据。这些模块的设计将支持中学职前数学教师在公共和学校安全问题的背景下发展批判性思维。此外,这项工作旨在使职前教师能够更好地支持和倡导中学数学课堂上的学生,特别是那些认为自己是黑人、土著和有色人种的学生。这些模块将支持职前教师的统计素养,并使他们接触数据科学,这对于为学生未来的STEM职业做好准备变得越来越重要。通过开发和实施新的教学方法,使本科职前教师参与学习统计概念和实践,该项目有可能为教师准备和课程设计的知识库做出贡献。这项工作还扩展到为数学教师教育工作者提供课程模块,供职前教师使用。这个由北卡罗来纳大学夏洛特分校、太平洋路德大学和休斯顿大学合作的跨机构项目的两个目标包括:(i)设计和实施两个数据模块,让职前教师参与统计思考和讨论不公正制度,即系统性种族主义;(ii)开发和完善教师指南,重点帮助数学教师教育工作者实施这些模块。课程研究框架(要素,2007年)将指导模块和教师指南的开发、测试和完善。统计软件(CODAP和R)将在模块活动中使用,使职前教师参与分析大型公开数据集。教师指南将帮助他们了解背景、内容、软件,以及在他们参与有关种族的艰难对话时可能出现的职前教师抵抗。这些指南将概述关键事件(Tripp, 1993),教师可以利用这些事件来发展职前教师对系统性种族主义的理解。项目成果、材料和资源将通过网站、会议、研讨会和出版物共享。该项目将使STEM教育界受益,培养具有统计学素养的STEM教师,让他们更深入地了解种族在社会和教育中的运作方式。NSF IUSE: EHR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。通过参与学生学习轨道,IUSE:EHR项目支持有前途的实践和工具的创建、探索和实施。Robert Noyce教师奖学金(Noyce)计划为IUSE: EHR项目提供联合资金,以支持该项目的职前教师准备目标,该目标与Noyce计划目标非常一致。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。
英文摘要
This project aims to serve the national interest by improving curricula in mathematics and statistics education. As an IUSE Engaged Student Learning Level 1 project, it brings together a cross-institutional team to design and implement two modules to promote statistical reasoning using real transportation data from traffic stops and school administrative data from disciplinary cases. The modules will be designed to support secondary preservice mathematics teachers’ development of critical thinking in the context of public and school safety issues. Additionally, this work aims to allow preservice teachers to better support and advocate for the students in their secondary mathematics classes, especially students who identify as Black, Indigenous, and People of Color. The modules will support the preservice teachers’ statistical literacy and expose them to data science, which is becoming increasingly important to prepare students for STEM careers of the future. The project has potential to contribute to the knowledge base in teacher preparation and curriculum design by focusing on developing and implementing novel instructional methods to engage undergraduate preservice teachers in learning statistics concepts and practices. This work also extends to providing mathematics teacher educators with curricular modules for use with preservice teachers.The two goals of this cross-institutional project from University of North Carolina Charlotte, Pacific Lutheran University, and University of Houston include: (i) design and implement two data modules to engage preservice teachers in thinking statistically and discussing systems of injustice, namely systemic racism, and (ii) develop and refine instructor guides that focus on helping mathematics teacher educators implement these modules. The Curriculum Research Framework (Clements, 2007) will guide the development, testing, and refinement of the modules and instructor guides. Statistical software (CODAP and R) will be used in the module activities to engage preservice teachers in analyzing large publicly available datasets. Instructor guides will help navigate the context, content, software, and possible preservice teacher resistance as they engage in difficult conversations about race. The guides will outline critical incidents (Tripp, 1993) that instructors can leverage to develop preservice teachers’ understanding about systemic racism. Project outcomes, materials, and resources will be shared through a website, conferences, workshops, and publications. The project will benefit the STEM education community by preparing statistically literate STEM teachers with a deeper understanding of how race operates in society and education. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the IUSE:EHR Program supports the creation, exploration, and implementation of promising practices and tools. The Robert Noyce Teacher Scholarship (Noyce) Program is providing co-funding for this IUSE: EHR project to support the project's preservice teacher preparation goals, which are well-aligned with Noyce Program goals.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.
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负责人:Anthony Fernandes
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