A Data-Driven Curriculum Strand for High School Mathematics

NCTM和MSEB等学校数学改革的主要倡导者强调，如果数学要与学生的实际世界相关，如果它要为信息时代的生活提供必要的技能，数据分析可以而且必须是振兴课程的关键组成部分。本着这种精神，该项目解决了两个相辅相成的需求：如何利用数据分析来推动调整后的数学课程的基本主题，以及如何确定和传授有效参与社会所需的数据分析技能。根据数据分析的详细范围和顺序，将编写模块，将数据分析整合到许多传统数学主题的教学中，使这些主题从学生感兴趣的实际应用中激发出来，并将统计概念形成对该主题的统一呈现。单元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。

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.