Expanding and assessing the art and practice of statistical thinking

扩展和评估统计思维的艺术和实践

• 批准号: 2235355
• 负责人: Nathan Tintle
• 金额: $ 80万
• 依托单位: SUPERIOR STATISTICAL RESEARCH, LLC
• 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: 2023-10-01 至 2027-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2235355&HistoricalAwards=false
• 关键词: Expanding; assessing; art; practice; statistical

This project aims to serve the national interest by providing faculty professional development and support materials to post-secondary statistics instructors. The project looks to broaden and deepen the ability of these instructors to focus on the art and practice of statistical thinking. As post-secondary statistics course enrollments continue growing rapidly, there is an opportunity to expand the use of best practices in statistics and data science education. The increasingly diverse population of students engaging in data science and the increased role of data across disciplines further underscores the need for well-designed, modern statistics courses aligned with the 21st century workforce. The Guidelines for Assessment and Instruction in Statistics Education (GAISE) have emphasized the need to teach statistics as an investigative process, with a focus on conceptual understanding, use of real data with context and purpose, effective use of technology, and high-quality assessments for learning. However, many post-secondary instructors are not yet familiar with GAISE, and many do not have formal training in statistics/data science or sufficient access to resources or professional networks. This Level III IUSE project in the Engaged Student Learning track will provide faculty professional development through intensive workshops, sustained interactions, formative assessment, and support materials to dramatically improve students’ statistical education. This project will have substantial impact on instruction in the art and practice of statistical thinking, aligned with GAISE and current research on teaching and learning in statistics.Over the four-year period of the project, 24 instructor-facing workshops will be offered using a mix of in-person and virtual approaches, creating an expanded network of over 600 statistics educators. Participating instructors will be part of a sustained synchronous professional development program that includes social media interaction, blog/discussion board opportunities, and office hours to support instructors post-workshop. Furthermore, the project will produce freely-available materials for instructors to use in their classrooms. These free and widely disseminated materials will include instructor-facing videos, platform-independent applets, and other multi-media supports. The project will also generate and refine faculty and student materials based on feedback from participating instructors and insights from an internationally recognized advisory board. The 600 participating educators will directly impact over 75,000 students during the project period, with additional impact arising from dissemination of materials during and beyond the life of the project. Efforts are particularly focused on instructors reaching students with a broad selection of skills and backgrounds, leading to a substantial increase in the diversity of students developing their conceptual understanding of statistics. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the 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.

该项目旨在为国家利益服务，向中学后统计教师提供教师专业发展和支助材料。该项目旨在拓宽和深化这些教师的能力，专注于统计思维的艺术和实践。随着中学后统计课程的入学人数继续迅速增长，有机会在统计和数据科学教育中扩大使用最佳做法。从事数据科学的学生越来越多样化，跨学科数据的作用越来越大，进一步强调了设计良好的现代统计课程与21世纪世纪劳动力相一致的必要性。《统计教育评估和教学指导方针》强调，必须将统计教学作为一个调查过程，重点是概念理解、结合背景和目的使用真实的数据、有效利用技术以及高质量的学习评估。然而，许多中学后教师还不熟悉GAISE，许多人没有接受过统计/数据科学方面的正式培训，也没有充分利用资源或专业网络的机会。这个三级IUSE项目在ESTA学生学习轨道将通过密集的研讨会，持续的互动，形成性评估和支持材料，以大大提高学生的统计教育提供教师的专业发展。该项目将对统计思维艺术和实践的教学产生重大影响，与全球统计信息系统和统计教学研究以及目前的统计教学研究保持一致，在该项目的四年期间，将采用面对面和虚拟相结合的方法举办24个面向统计工作者的讲习班，建立一个由600多名统计教育工作者组成的扩大网络。参与的讲师将是持续同步专业发展计划的一部分，该计划包括社交媒体互动，博客/讨论板机会和办公时间，以支持讲师研讨会后。此外，该项目还将制作免费提供的材料，供教员在课堂上使用。这些免费和广泛传播的材料将包括面向用户的视频、独立于平台的小程序和其他多媒体支持。该项目还将根据参与教师的反馈和国际公认的咨询委员会的见解，生成和完善教师和学生的材料。在项目期间，600名参与的教育工作者将直接影响75 000多名学生，在项目期间和项目结束后传播的材料将产生额外的影响。努力的重点特别是教员接触学生广泛的技能和背景的选择，导致学生的多样性大大增加，发展他们的统计概念的理解。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。