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; 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.

该项目旨在通过为大专院校教师提供教师专业发展和支持材料来为国家利益提供服务。该项目旨在扩大和加深这些讲师专注于统计思维的艺术和实践的能力。随着专上统计课程的入学率继续迅速增长，有机会扩大统计和数据科学教育中最佳实践的使用。参与数据科学的学生人数越来越多，并且跨学科的数据作用的增加进一步强调了对精心设计的现代统计课程的需求，与21世纪的劳动力一致。统计教育（GAISE）评估和教学的指南强调了将统计数据作为调查过程的必要性，重点是概念理解，具有上下文和目的的真实数据，有效的技术使用以及高质量的学习评估。但是，许多中学后的讲师尚不熟悉Gaise，许多人都没有在统计/数据科学方面进行正式培训，也没有足够的资源或专业网络访问。该级别III IUSE项目在敬业的学生学习轨道上将通过密集的研讨会，持续的互动，形成性评估和支持材料提供教师专业发展，以极大地改善学生的静态教育。该项目将对统计思维的艺术和实践中的教学产生重大影响，与Gaise和当前有关统计学的教学研究保持一致。在该项目的四年期，将使用面对面的教师和虚拟方法的组合提供面向教师的24个讲习班，创建一个超过600多名统计学教育者的网络。参与的讲师将成为一项持续同步的专业发展计划的一部分，其中包括社交媒体互动，博客/讨论委员会的机会和办公时间，以支持教练工作室。此外，该项目将生产免费的材料，供讲师在教室中使用。这些免费且广泛传播的材料将包括面向讲师的视频，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的讲师的反馈以及国际认可的顾问委员会的见解生成和完善教师材料。在项目期间，600名参与的教育者将直接影响75,000多名学生，并在项目寿命期间和超越材料的传播中产生其他影响。努力尤其集中在向学生覆盖具有广泛技能和背景的学生，从而导致学生对统计的概念理解的多样性大幅提高。 NSF IUSE：EDU计划支持研发项目，以提高所有学生STEM教育的有效性。通过参与的学生学习轨道，该计划支持了承诺实践和工具的创建，探索和实施。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估审查标准，被认为是珍贵的支持。