以数据为导向,主动学习,微积分后统计概念,方法和理论的介绍

Allan Rossman, B. Chance
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引用次数: 22

摘要

我们的论文描述了我们为一门课程开发课程材料的计划,该课程向学生介绍微积分后水平的统计概念、方法和理论。本课程提供了一个比概率和数理统计的标准序列更平衡的统计学科的介绍。这些材料结合了许多成功的统计教育项目的特点,目标是数学准备不足的学生。这个项目所针对的学生受众尤其重要,因为他们被以往的课程改革项目所忽视。最重要的是,拟议的受众包括未来的统计教师,向他们介绍内容和教学方法,为他们在统计和概率方面实施NCTM标准做好准备,并教授统计大学先修课程。
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A Data-Oriented, Active Learning, Post-Calculus Introduction to Statistical Concepts, Methods, and Theory
Our paper describes our project to develop curricular materials for a course that introduces students at the post-calculus level to statistical concepts, methods, and theory. This course provides a more balanced introduction to the discipline of statistics than the standard sequence in probability and mathematical statistics. The materials incorporate many features of successful statistics education projects that target less mathematically prepared students. The student audiences targeted by this project are particularly important because they have been overlooked by previous curricular reform projects. Most importantly, the proposed audience includes prospective teachers of statistics, introducing them to content and pedagogy that prepare them for implementing NCTM Standards with regard to statistics and probability and for teaching the Advanced Placement course in Statistics.
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