Creating a Teaching and Learning Infrastructure for Introductory Statistics Redesign

为入门统计学重新设计创建教学基础设施

• 批准号: 0737126
• 负责人: Robert Gould
• 金额: $ 14.26万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0737126&HistoricalAwards=false
• 关键词: Creating; Teaching; Learning; Infrastructure; Introductory

Mathematical Sciences 21The Introductory Statistics Redesign Infrastructure (ISRI) project is constructing a model for effectively integrating the American Statistical Association supported best teaching practices into large, previously lecture-based introductory statistics courses. The project team is developing materials to assist instructors with incorporating active learning techniques in their classes and is developing teaching assistant materials to improve small-group instruction. Together these teaching supplements provide a model for teaching an activities-based, learner-centric introductory statistics course. The team is also producing unique data-analysis laboratory activities that introduce statistics as a science of data (not as a series of calculations) and guide students in analyzing real data and developing conceptual understanding. Additionally, this project is developing, testing, and implementing a computerized method to rapidly grade short open-ended writing questions in introductory statistics which will help instructors quickly identify learning misconceptions and provide students with timely feedback. All of the components of this course redesign work together to encourage students to perform high-level thinking in introductory statistics.

数学科学21介绍统计重新设计基础设施（ISRI）项目正在构建一个模型，以有效地将美国统计协会支持的最佳教学实践纳入大型，以前以讲座为基础的介绍性统计课程。 项目小组正在编写材料，协助教员将主动学习技巧纳入课堂，并正在编写教学辅助材料，以改进小组教学。 这些教学补充提供了一个模式，教学活动为基础的，以学习者为中心的统计学入门课程。 该团队还制作了独特的数据分析实验室活动，将统计学作为一门数据科学（而不是一系列计算），并指导学生分析真实的数据和发展概念理解。 此外，该项目正在开发，测试和实施一种计算机化的方法，以快速评分简短的开放式写作问题的介绍性统计，这将有助于教师快速识别学习的误解，并为学生提供及时的反馈。 本课程重新设计的所有组成部分共同努力，鼓励学生在介绍统计学中进行高层次的思考。