Collaborative Research: Enhancing Data Science and Statistics Teacher Education--Transforming and Building Community

这个项目旨在通过建立一个社区来服务于国家利益，该社区将改变本科教师的准备工作，使未来的K-12数学教师能够有效地教授现代数据科学和统计学(DS&Amp；S)。社会要求公民具备统计知识和数据素养，这导致中学阶段越来越多的努力将更多的DS&And；S纳入课程。为了满足这些需求，新教师将需要额外的准备，以培养学生的统计和数据素养。与其他数学分支相比，中学数学教师教育项目往往最少涉及DS&A；S；而且新教师往往缺乏教授统计主题的内容知识和信心。该项目的变革性活动侧重于修改课程和方案中的课程，对技术工具进行创新，以及在广泛的机构中发展师资。该项目旨在调查S教师教育的现状，旨在召集一个广泛的教师、组织、倡议和项目社区，专注于转变S教育的本科教师培养。利用改进科学的工具、方法和途径作为变革的指导理论，迎接将教师准备计划转变为DS和S的整合的挑战。项目有三个具体目标：A)通过调查和课堂观察对早期职业数学教师进行调查，并进行第二次调查和访谈研究，以找出S数学教师教育项目实践中存在的问题，从而调查当前本科教师为教授S教师所做的准备工作；B)通过与全国性组织和项目的合作伙伴关系以及广泛的教师学习机会，建立并保持S教师教育网络改进社区；以及C)通过开发、策划和传播高质量的S教师教育课程材料，接触到广泛、大量和多样化的教师教育受众。协和联盟的通用在线数据分析平台(CODAP)是一个为5至14年级设计的易于使用的数据分析环境，是用于处理数据、模拟和建模的主要技术。在这个项目中，CODAP功能将被扩展，功能将被修改。NSF IUSE：EHR计划支持研究和开发项目，以提高所有学生的STEM教育的有效性。通过机构和社区转型轨道，该计划支持高等教育机构和学科社区转变和改善STEM教育的努力。部分资金来自罗伯特·诺伊斯教师奖学金计划。这一奖项反映了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。

This project aims to serve the national interest by building a community that will transform undergraduate teacher preparation so that future K-12 mathematics teachers are prepared to effectively teach modern data science and statistics (DS&S). Society demands that citizens be statistically and data literate, resulting in growing efforts at the secondary level to include more DS&S in the curriculum. To meet these demands, new teachers will need additional preparation to foster students’ statistical and data literacy. Secondary mathematics teacher education programs often minimally address DS&S in comparison to other branches of mathematics, and new teachers tend to lack content knowledge and confidence to teach statistics topics. Transformative activities of this project focus on modifications of curriculum within courses and programs, innovations to technological tools, and faculty development at a broad range of institutions. The project aims to examine the current state of DS&S teacher education and intends to assemble an extensive community of faculty, organizations, initiatives, and projects focused on transforming undergraduate teacher preparation in DS&S education. The challenge of transforming teacher preparation programs to integrate DS&S is met using tools, methods, and approaches of improvement science as a guiding theory of change. There are three specific project goals: A) investigate the current systems in undergraduate teacher preparation for teaching DS&S by examining early career mathematics teachers through surveys and classroom observations, and a second survey and interview study to identify problems of practice for DS&S of mathematics teacher education programs; B) build and sustain a DS&S teacher education networked improvement community through partnerships with national organizations and projects and extensive faculty learning opportunities; and C) reach a broad, large, and diverse teacher education audience through developing, curating and disseminating high quality DS&S teacher education curriculum materials. The Common Online Data Analysis Platform (CODAP) of the Concord Consortium, “an easy¬-to-¬use data analysis environment designed for grades 5 through 14,” is the primary technology to be used in engaging with data, simulation and modeling. In this project, CODAP functionality is to be expanded and capabilities modified. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Institutional and Community Transformation track, the program supports efforts to transform and improve STEM education across institutions of higher education and disciplinary communities. Partial funding is from the Robert Noyce Teacher Scholarship program.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.