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SBIR/STTR Phase II: Census Microdata in the Classroom

SBIR/STTR Phase II: Census Microdata in the Classroom
SBIR/STTR 第二阶段:课堂上的人口普查微观数据
批准号:
0131833
负责人:
William Finzer
金额:
$49.98万
依托单位:
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
项目状态:
已结题
起止时间:
2002-03-01 至 2004-02-29
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项目摘要

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中文摘要
翻译
SBIR第二阶段项目建议研究如何在中学和大学数学课程中增加美国和其他国家人口普查微观数据的可访问性和利用率。 一个无缝的,XML驱动的接口,以网络服务器在明尼苏达州人口中心将使教师和学生能够指定,请求,并导入到深动态统计软件的微数据。 对Fathom软件的改进将使其在处理人口普查微观数据方面更加容易和强大;数学课程材料将为教师提供有效的方法,使他们开始处理这一高度激励性的数据-既教授现有内容,又教授数据素养。 第一阶段的研究表明,人口普查微观数据和学校人口普查微观数据之间有很强的相似性,这些数据是由K-12学校收集的,涉及学生的人口统计数据和表现,课程设置和课堂实践。 因此,第二阶段利用这一重叠,以产生急需的接口,方便访问学校普查微观数据,调查工具,生产它,并扩展到Fathom分析。 KCP技术公司的人口普查微数据项目利用了美国学校的网络连接,从而共生地适应了学校技术发展的更大模式。 该项目提供了一个产品,通过一个易于使用的界面支持复杂数据的分析,这将有助于数据分析和从数据分析中学习。 美国教育非常需要在这个项目下生产的各种软件和课程资源
英文摘要
This SBIR Phase II project proposes to research ways to increase accessibility and utilization of microdata from censuses of the U.S. and other countries in secondary school and college courses in mathematics. A seamless, XML-driven interface to a web server at the Minnesota Population Center will make it possible for teachers and students to specify, request, and import this microdata into Fathom Dynamic Statistics software. Enhancements to Fathom software will increase its already considerable ease and power for working with census microdata; curriculum materials in mathematics will provide teachers with effective ways to begin working with this highly motivating data--both to teach existing content and to teach data literacy. Phase I research suggested strong similarities between census microdata and school census microdata data that is gathered by K-12 schools about student demographics and performance, course offerings, and classroom practice. Accordingly, Phase II leverages this overlap to produce greatly needed interfaces for easily accessing school census microdata, survey tools for producing it, and extensions to Fathom for analyzing it. KCP Technologies' census microdata project exploits the merging web connectivity in American schools, thus symbiotically fitting a larger pattern of evolution of school technologies. The project offers a product that supports analysis of complex data through an easy-to-use interface which will contribute to data anlysis and learning from data analysis. U.S. education is very much in need of the kinds of software and curriculum resources to be produced under this project
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DIP: Data Science Games - Student Immersion in Data Science Using Games for Learning in the Common Online Data Analysis Platform
  • 批准号:
    1530578
  • 项目类别:
    Standard Grant
  • 资助金额:
    $134.88万
  • 财政年份:
    2015
  • 负责人:
    William Finzer
  • 依托单位:
Common Online Data Analysis Platform (CODAP)
  • 批准号:
    1435470
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $281.56万
  • 财政年份:
    2014
  • 负责人:
    William Finzer
  • 依托单位:
Common Online Data Analysis Platform (CODAP)
  • 批准号:
    1316728
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $283.93万
  • 财政年份:
    2013
  • 负责人:
    William Finzer
  • 依托单位:
Collaborative Research: Data Games--Tools and Materials for Learning Data Modeling
  • 批准号:
    0918735
  • 项目类别:
    Standard Grant
  • 资助金额:
    $135.91万
  • 财政年份:
    2009
  • 负责人:
    William Finzer
  • 依托单位:
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