Creating a Teaching and Learning Infrastructure for Introductory Statistics Redesign

“统计基础设施重新设计入门”（ISRI）项目正在构建一个模型，将美国统计协会支持的最佳教学实践有效地整合到以前以讲座为基础的大型统计入门课程中。项目小组正在编写材料，协助教师在课堂上采用主动学习技术，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种以活动为基础、以学习者为中心的统计学入门课程的教学模式。该团队还开展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）介绍给学生，并指导学生分析真实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，以快速评分介绍性统计学中的简短开放式写作问题，这将有助于教师快速识别学习误解，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一起工作，以鼓励学生在入门统计中进行高层次的思考。

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.