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

该项目旨在通过建立一个社区来为国家利益服务，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）。社会要求公民具有统计和数据素养，因此在中学阶段，越来越多的人努力在课程中加入更多的统计和数据。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，中学数学教师教育计划通常很少涉及ds&s，新教师往往缺乏内容知识和教授统计主题的信心。该项目的变革活动侧重于课程和项目中的课程修改，技术工具的创新以及广泛机构的教师发展。该项目旨在调查高等师范学院教师教育的现状，并打算组建一个广泛的教师、组织、倡议和项目社区，重点关注高等师范学院教育中本科教师的培养。将教师准备计划转变为整合ds&s的挑战是使用作为变革指导理论的改进科学的工具、方法和途径来解决的。具体的项目目标有三个：A)通过调查和课堂观察对早期职业数学教师进行调查，调查当前本科教师教学ds&s的准备制度，并进行第二次调查和访谈研究，以确定数学教师教育项目实践中ds&s的问题；B)通过与国家组织和项目的合作以及广泛的教师学习机会，建立和维持ds&s教师教育网络化改进社区；C)通过开发、策划和传播高质量的ds&s教师教育课程材料，接触到广泛、庞大和多样化的教师教育受众。康科德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，将扩展CODAP功能并修改其功能。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的STEM教育转型和改善。部分资金来自Robert Noyce教师奖学金项目。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。

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.