Broadening the scope of statistical education through technology

通过技术扩大统计教育的范围

• 批准号: 0127557
• 负责人: Deborah Nolan
• 金额: $ 35万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-05-15 至 2006-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0127557&HistoricalAwards=false
• 关键词: Broadening; scope; statistical; education; through

Mathematical Sciences (21)This project develops software material for teaching mathematical statistics to advanced undergraduate students in science, mathematics, and engineering. The project is a collaborative effort of educators and researchers at the University of California, Berkeley and Davis, the Naval Postgraduate School, and Lucent Technologies.The software integrates case studies based on real-life problems from diverse fields with multimedia demonstrations of statistical concepts that use visualization, animation, and simulation to create a unique interactive learning environment. The philosophy behind the project is well represented by Moore's statement, "The case for substantive change in statistical instruction is built on strong synergies between content, pedagogy, and technology," (ISR, 1997). The case studies from Stat Labs: Mathematical Statistics through Applications (Nolan & Speed, 2000) provides a model and example content for integrating cases into the software. A distinguishing feature of this interactive environment is the use of professional statistical software, R, as a plug-in to the browser for running demonstrations. Some implications of this feature are that: extensive Java programming of plotting and numerical routines are avoided, the content (cases) and demos can be integrated into one cohesive document, more attention can be paid to the pedagogical aspects of the software. Further the project provides an electronic framework that is easily extensible and adaptable to different contents, therefore making it easier for instructors to incorporate the material into their teaching and to adapt the material to special audiences.

数学科学（21）本项目开发用于向科学、数学和工程专业的高级本科生教授数理统计的软件材料。该项目是加州大学伯克利分校和戴维斯分校、海军研究生院和朗讯科技公司的教育工作者和研究人员共同努力的成果。该软件将基于不同领域现实问题的案例研究与统计概念的多媒体演示相结合，使用可视化、动画和模拟来创建一个独特的交互式学习环境。摩尔的声明很好地体现了该项目背后的理念，“统计教学的实质性变革是建立在内容、教学法和技术之间的强大协同作用之上的”（ISR，1997年）。Stat Labs：Mathematical Statistics through Applications（Nolan Speed，2000）中的案例研究为将案例集成到软件中提供了模型和示例内容。这种交互式环境的一个显著特点是使用专业统计软件R作为浏览器的插件，用于运行演示。这个功能的一些影响是：广泛的Java编程的绘图和数值例程被避免，内容（情况下）和演示可以集成到一个有凝聚力的文件，更多的注意力可以支付给软件的教学方面。此外，该项目还提供了一个电子框架，很容易扩展和适应不同的内容，从而使教师更容易将材料纳入教学，并使材料适应特殊受众。