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.

学校数学变革的主要支持者，其中包括 NCTM 和 MSEB，强调如果数学要与学生的实际世界联系起来并提供必要的技能，数据分析可以而且必须成为振兴课程的关键组成部分生活在信息时代。 本着这种精神，该项目解决了两个互补的需求：如何使用数据分析来激发重组数学课程的基本主题，以及如何识别和教授有效参与社会所需的数据分析技能。 按照数据分析链的详细范围和顺序，将编写模块，将数据分析整合到数学中许多传统主题的教学中，以便这些主题将从学生感兴趣的实际应用中激发出来，并且统计概念将形成主题的统一表述。 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、数学思想的口头和书面交流以及数学主题的相互关联性。