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。作为一个IUSE的学生学习水平1项目,它汇集了一个跨机构的团队,设计和实施两个模块,以促进统计推理使用交通站的真实的交通数据和纪律案件的学校行政数据。这些单元的设计将支持中学数学教师在公共和学校安全问题方面发展批判性思维。此外,这项工作的目的是让业余教师更好地支持和倡导学生在他们的中学数学课,特别是学生谁确定为黑人,土著和有色人种。这些模块将支持在职教师的统计素养,并使他们接触数据科学,这对学生为未来的STEM职业做好准备变得越来越重要。该项目有可能有助于教师准备和课程设计的知识基础,重点是开发和实施新的教学方法,使本科生的副教师学习统计概念和实践。这项工作还延伸到提供数学教师教育与课程模块用于副教师.这两个目标的跨机构项目从北卡罗来纳州大学夏洛特,太平洋路德大学,和休斯顿大学包括:(i)设计和实施两个数据模块,使中学教师参与统计思考和讨论不公正制度,即系统性种族主义,以及(ii)制定和完善教师指南,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(Clements,2007)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)将用于模块活动中,以使在职教师参与分析大型公开数据集。教师指南将帮助浏览上下文,内容,软件,和可能的副教师阻力,因为他们从事有关种族的困难对话。这些指南将概述一些关键事件(Tripp,1993年),教员可以利用这些事件来提高中学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、讲习班和出版物共享。该项目将通过培养具有统计学素养的STEM教师,更深入地了解种族在社会和教育中的运作方式,使STEM教育界受益。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EHR学生学习课程,IUSE:EHR计划支持创建,探索和实施有前途的实践和工具。罗伯特·诺伊斯教师奖学金(Noyce)计划为IUSE:EHR项目提供共同资助,以支持该项目的副教师准备目标,这与诺伊斯计划目标非常一致。该奖项反映了NSF的法定使命,并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。
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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