Mathematics Teachers Preparation Improvement Project

这个项目将开发两种数学的材料 为在职教师开设的课程， 小学-中学一级和教师一级 高中水平。 课程的相关主题是 教与学与计算机技术。 过程 对于K-8，副教授将以概率为中心， 统计 材料开发将包括 以实验室为基础的活动， 计算机，以激励，提高和加强学习 概率和统计。 中学课程 副教授会让学生参与主动学习 围绕合作和个人设计的情境 数学问题的研究。 重点 数学问题解决，数学建模， 数学的多重表征 概率和 统计数据将成为某些问题的背景。 计算机技术用于生成数据、执行 统计分析，草图，绘制几何图形 数字，方程的近似解，并执行 算法 这两门课程的材料将是 广泛传播，特别关注教师 在密歇根州的准备机构。 NCTM标准 将是决定课程的基础， 包括和教学策略要使用。 的 项目团队将得到以下顾问团队的支持： 密歇根州内的其他教师教育机构和来自 其他国家。 这些顾问是根据他们的 在技术、数学和统计学方面的专业知识。 教师也将作为顾问参与该项目。 费用分摊将是NSF资金的50%， 项目

This project will develop materials for two mathematics courses for preservice teachers, one course for teachers at the elementary-middle school level and one for teachers at the high school level. The related theme of the courses is teaching and learning with computing technology. The course for K-8 preservice teachers will center on probability and statistics. The materials development will include laboratory-based activities that integrate calculators and computers to motivate, enhance and reinforce the learning of probability and statistics. The course for secondary preservice teachers will involve students in active learning situations designed around cooperative and individual investigations of mathematical problems. Emphasis is placed on mathematical problem solving, mathematical modeling, and multiple representations of mathematics. Probability and statistics will be the setting for some of the problems. Computer technology is used to generate data, perform statistical analyses, sketch graphs, draw geometric figures, approximate solutions to equations, and carry out algorithms. The materials from both courses will be disseminated widely with a special focus on the teacher preparation institutions within Michigan. The NCTM Standards will be the basis for decisions about curriculum to be included and instructional strategies to be used. The project team will be supported by a team of advisors from other teacher education institutions within Michigan and from other states. The advisors have been selected for their expertise in technology, mathematics, and statistics. Teachers will also be involved as advisors in the project. The cost sharing will be 50% of the NSF funding for the project.