Broadening the impact and evaluating the effectiveness of randomization-based curricula for introductory statistics

扩大基于随机化的统计入门课程的影响并评估其有效性

• 批准号: 1323210
• 负责人: Nathan Tintle
• 金额: $ 55.01万
• 依托单位: Dordt University, Incorporated
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-02-15 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1323210&HistoricalAwards=false
• 关键词: Broadening; impact; evaluating; effectiveness; randomization

This PI team is working on two complementary fronts to increase the adoption of a new randomization-based curricula for introductory statistics that emphasizes: i) the core logic of inference using randomization-based methods alongside an intuitive, cyclical, active-learning pedagogy, and ii) the overall process of statistical investigations, from asking questions and collecting data through making inferences and drawing conclusions. The first front involves: a) conducting a series of twelve 1-4 day professional development workshops, and b) developing and supporting an online learning community to provide on-going support beyond the workshops. An important aspect of the intellectual merit of the project lies in the second front which involves the evaluation of widespread transferability of the model curriculum and research to deepen understanding of students' attitudes, conceptual understanding, and learning trajectories within the curriculum. Together with the workshop participants, developers, and other faculty, the team is gathering a large and diverse set of attitudinal and conceptual assessment data from over 3000 students at a variety of institutions. In-depth qualitative and quantitative assessments of students' developmental learning trajectories on key concepts are being carried out. The project is exercising broader impacts not only through its planned workshops, but also through coordination of its efforts through the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE), which serves as the primary hub of activity for transformational efforts in statistics education.

该PI团队正在两个互补的方面工作，以增加采用新的基于随机化的入门统计课程，强调：i）使用基于随机化的方法进行推理的核心逻辑，以及直观，循环，主动学习的教学法，ii）统计调查的整个过程，从提出问题和收集数据到做出推断和得出结论。第一条战线涉及：a）举办一系列12个为期1-4天的专业发展讲习班，以及B）开发和支持在线学习社区，以提供讲习班以外的持续支持。该项目的智力价值的一个重要方面在于第二个方面，涉及评估示范课程的广泛可移植性和研究，以加深对学生态度、概念理解和课程内学习轨迹的理解。与研讨会的参与者，开发人员和其他教师一起，该团队正在从各种机构的3000多名学生那里收集大量不同的态度和概念评估数据。对学生在关键概念上的发展学习轨迹进行了深入的定性和定量评估。该项目正在发挥更广泛的影响，不仅通过其计划举办的讲习班，而且通过促进本科生统计教育联合会协调其工作，该联合会是统计教育转型工作的主要活动中心。