Image Processing Teaching: Curriculum Materials Development

图像处理教学：课程教材开发

• 批准号: 9553841
• 负责人: Michael Drake
• 金额: $ 120.03万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-07-15 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9553841&HistoricalAwards=false
• 关键词: Image; Processing; Teaching; Curriculum; Materials

9553841 Greenberg Image processing has been shown to be a powerful medium for engaging diverse learners, whose needs have not been met in the past, in the study of science and mathematics. The technique is an effective and engaging way to study the applications of science and mathematics to real-world situations as represented by digital imagery. It brings science research to the classroom; science is learned as science is done. Students and teachers are lead into exploration, inquiry and analysis using real data sets and state-of-the-art computer tools. These supplemental materials, useful in middle and high schools are based on successful materials developed in teacher enhancement programs and provide a context for changing traditional classroom structure to a learning community. Teachers are supported by on-line services and a network of professional development opportunities. Subject specific CDROMs are produced in physics, biology and Earth science. The standards-based activities are designed to meet specific learning goals and lead to creative student-generated products for performance-based assessment of student achievement. Students also learn about mathematical concepts that underlie image processing such as coordinate systems, slope and intercept, measurement and statistics.

9553841格林伯格图像处理已被证明是吸引不同学习者参与科学和数学研究的一种强有力的媒介，这些学习者的需求过去没有得到满足。这项技术是研究以数字图像为代表的现实世界中科学和数学应用的一种有效和引人入胜的方式。它将科学研究带入课堂；科学是在做科学的同时学习的。引导学生和教师使用真实的数据集和最先进的计算机工具进行探索、询问和分析。这些在初中和高中有用的补充材料是基于教师提升计划中开发的成功材料，并为将传统课堂结构转变为学习社区提供了背景。教师得到在线服务和专业发展机会网络的支持。在物理学、生物学和地球科学中制作了特定学科的光盘。这些以标准为基础的活动旨在满足特定的学习目标，并产生创造性的学生生成的产品，用于基于表现的学生成绩评估。学生还将学习作为图像处理基础的数学概念，如坐标系、斜率和截距、测量和统计。