A Data-Oriented, Active Learning, Post-Calculus Introduction to Statistical Concepts, Methods and Theory

面向数据、主动学习、后微积分的统计概念、方法和理论简介

• 批准号: 9950476
• 负责人: Allan Rossman
• 金额: $ 25.28万
• 依托单位: Dickinson College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-06-01 至 2002-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9950476&HistoricalAwards=false
• 关键词: Data; Oriented; Active; Learning; Post

This project is developing curricular materials for a two-course sequence that introduces students at the post-calculus level to statistical concepts, methods, and theory. These courses are providing a more balanced introduction to the discipline of statistics than the standard sequence in probability and mathematical statistics. The materials incorporate features of successful statistics education projects, including development of students' conceptual understandings, student explorations through hands-on activities, analysis of genuine data, and integration of computer tools both to enhance students' learning and to analyze data efficiently.The student audience targeted by this project is particularly important because it has been overlooked by previous curricular reform projects focused on the introductory course for students with majors outside of mathematics. The proposed two-course sequence introduces mathematics and science majors to content and pedagogy, which prepare them well for careers in statistics or teaching. Because large numbers of mathematics majors become teachers at the secondary school level, these students must learn fundamental principles of data analysis to be able to teach according to NCTM standards. This course is particularly appropriate as it teaches students in a discovery-oriented manner in which they should teach.In addition to developing, testing and revising these materials, the project includes a significant program of dissemination and evaluation. The primary outcomes are two fully self-contained textbook/ workbooks, which integrate investigative activities with more traditional exposition. Other expected outcomes include a suite of Java applets designed to aid students' conceptual visualization and extensive support materials such as instructor's guides and sample examinations. A final anticipated outcome is a week-long faculty development workshop.

该项目正在为两道菜序列开发课程材料，该材料将在后水平的级别介绍统计概念，方法和理论的学生。与概率和数学统计中的标准序列相比，这些课程对统计学科的学科提供了更平衡的介绍。这些材料涵盖了成功统计教育项目的功能，包括发展学生的概念理解，通过动手活动的学生进行探索，对真实数据的分析以及计算机工具的整合，以增强学生的学习和有效分析数据。该项目的学生受众对该项目的攻击尤为重要，因为它尤其重要，因为它被以前的成熟度改革项目集中在众多学生之外的介绍性培训课程中，这是众多学生的介绍性课程。提出的两道菜序列将数学和科学专业的专业介绍给内容和教学法，这为统计或教学的职业做好了很好的准备。由于大量数学专业的专业成为中学一级的教师，因此这些学生必须学习数据分析的基本原理，以便能够根据NCTM标准教授。 本课程特别合适，因为它以发现的方式教给学生，他们应该教。除了开发，测试和修改这些材料外，该项目还包括一项重要的传播和评估计划。主要结果是两个完全独立的教科书/工作簿，它们将调查活动与更传统的博览会相结合。其他预期的结果包括一套Java小程序，旨在帮助学生的概念可视化和广泛的支持材料，例如讲师的指南和样本检查。最终的预期结果是为期一周的教师发展研讨会。