A Data-Driven Curriculum Strand for High School Mathematics

数据驱动的高中数学课程

• 批准号: 9054648
• 负责人: Gail Burrill
• 金额: $ 105.79万
• 依托单位: American Statistical Association
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-01-01 至 1996-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9054648&HistoricalAwards=false
• 关键词: Data; Driven; Curriculum; Strand; Mathematics

Leading proponents of change to school mathematics, NCTM and MSEB among them, emphasize that data analysis can and must be a key component of a revitalized curriculum if mathematics is to relate to the practical world of the student and if it is to provide the necessary skills for living in the information age. In that spirit, this project addresses two complementary needs: how to use data analysis to motive the essential topics of a restructured mathematics curriculum and how to identify and teach those data analysis skills that are required for effective participation in society. Following a detailed scope and sequence for a data analysis strand, modules will be written that integrate data analysis into the teaching of many traditional topics in mathematics so that the topics will be motivated from real applications of interest to students and the statistical concepts will form a unified presentation of the subject. Instructional practices suggested in the modules will emphasize problem solving, cooperative learning, student projects, uses of technology, oral and written communication of mathematical ideas, and the interrelatedness of mathematical topics.

改变学校数学的主要支持者，NCTM 和MSEB，强调数据分析可以而且必须 成为振兴课程的关键组成部分，如果数学 是与学生的实际世界联系起来， 提供必要的技能， 年龄 本着这一精神，本项目涉及两个互补的 需求：如何使用数据分析来激发基本主题 以及如何确定 并教授所需的数据分析技能 有效参与社会。 根据详细的范围 和序列的数据分析链，模块将 将数据分析整合到许多 传统的数学主题，这样的主题将是 从学生感兴趣的真实的应用中激发， 统计概念将形成一个统一的表述， 个话题吧 模块中建议的教学实践 将强调问题解决，合作学习，学生 项目，技术的使用，口头和书面交流， 数学思想和数学的相互关系 话题