Passion-Driven Statistics: A multidisciplinary project-based supportive model for statistical reasoning and application

激情驱动的统计：基于多学科项目的统计推理和应用支持模型

• 批准号: 1323084
• 负责人: Lisa Dierker
• 金额: $ 60万
• 依托单位: Wesleyan University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1323084&HistoricalAwards=false
• 关键词: Passion; Driven; Statistics; multidisciplinary; project

This project team is building on the results of a TUES Type 1 award that created new learning materials for a project-based course that provides greater access to introductory statistics for large numbers of students primarily not in STEM-intensive majors. The approach features training in flexible application of knowledge, opportunities to analyze data in real world contexts, and education about statistical concepts through computing. In this Type 2 effort the principal investigators (PIs) are adapting and fine-tuning the current materials to add flexibility and seamlessness so that they are usable across a wide array of institutional settings and easily modified to meet the needs of students with different levels of preparation, learning styles, and interest. The intellectual merit of the project lies in its focus on the need of students outside of traditional STEM disciplines to have conceptual and analytical tools at their disposal to grapple with "big data" applications in their fields of inquiry. Moreover, the initial course materials have been piloted by nine different instructors and 350 students. Short-term and long-term learning gains for students are also being assessed at both the transition to college and post-graduation levels. The PIs are pursuing the broader impact of their efforts along two dimensions: first, by implementing and assessing their project-based model for learning in five partner institutions including universities, community colleges, and in a small number of cases, secondary school settings; and second, by conducting summer workshops for new faculty from varied disciplinary backgrounds to become prepared to teach using this project-based model.

该项目团队是建立在TUES类型1奖的结果，该奖项为基于项目的课程创建了新的学习材料，为大量学生提供更多的入门统计数据，主要不是STEM密集型专业。该方法的特点是灵活应用知识的培训，在真实的世界背景下分析数据的机会，以及通过计算进行统计概念的教育。在第二类研究中，主要研究者（PI）正在调整和微调现有的材料，以增加灵活性和无缝性，使它们能够在各种机构环境中使用，并易于修改，以满足不同准备水平，学习风格和兴趣的学生的需求。该项目的智力价值在于其重点是传统STEM学科以外的学生需要掌握概念和分析工具，以应对其研究领域中的“大数据”应用。此外，9名不同的教员和350名学生试用了最初的课程材料。在向大学过渡和毕业后阶段，也正在评估学生的短期和长期学习成果。主要研究机构正努力从沿着两个方面扩大其工作的影响：首先，在五个伙伴机构，包括大学、社区学院和少数中学，实施和评估其基于项目的学习模式;其次，为来自不同学科背景的新教师举办暑期讲习班，使他们做好使用这种基于项目的模式教学的准备。