PriMath II: Developing Teacher Leaders to Foster Mathematics Talent in K-4 Students

PriMath II：培养教师领导者以培养 K-4 学生的数学才能

• 批准号: 9254455
• 负责人: Mary Roberts
• 金额: $ 95.39万
• 依托单位: Hennepin Technical College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-07-15 至 1998-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9254455&HistoricalAwards=false
• 关键词: PriMath; II; Developing; Teacher; Leaders

This four-year program of Pri-Math II is designed to transform the 1990-93 NSF-funded, school-based Pri-Math (I) project into a district-level leadership model to improve mathematics education in the primary (K-4) grades. During its first two years, PriMath II will work with school systems to develop individual, long-range improvement plans. Ten participating teams will each include up to four (K-4) classroom teachers or specialists selected from Pri-Math I participants + a district-level administrative person. Those teams will in-turn select supporting teams to enroll in the second two years. Thus 56 lead teachers and 33 administratives will be involved directly to reach 1668 teachers indirectly by peer teaching. Project activities will occur in 4 settings during each of the 4 years: 4-week summer institutes, 8 school-year seminars, 4 school-year visits by the PD to participant classrooms, and among participants within their schools coaching peers plus conducting inservice to articulate/implement system-wide plans. Mathematics content and pedagogy is integrated throughout, with summer mathematics content courses being Geometry/Spatial Sense, Functions & Proportionality, Number Systems & Number Sense, and Data Analysis.

这个为期四年的初级数学二计划的目的是 改造1990-93年国家科学基金会资助的，以学校为基础的小学数学（一） 项目纳入区级领导模式，以提高 小学（K-4）数学教育。 期间 在头两年，PriMath II将与学校合作， 制定个人的长期改进计划。 10支参赛队伍中，每支队伍最多包括4名（K-4） 从初级数学I中挑选的任课教师或专家 参与者+一名区级行政人员。 这些团队将依次选择支持团队进行注册 在第二个两年。 56名教师和33名教师 行政人员将直接参与，达到1668人 教师通过同伴间接教学。 项目活动 将在4年中的每一年中以4种设置发生：4周 暑期班，8个学年研讨会，4个学年 由PD访问参与教室， 参与者在他们的学校辅导同行加 进行在职培训，以便在全系统阐明/实施 布局 数学内容与教学法相结合 在整个夏季，数学内容课程正在 几何/空间感，功能比例，数字 系统数感和数据分析。