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CSIAC Data Study

CSIAC Data Study
CSIAC数据研究
批准号:
0082024
负责人:
Kathleen Comfort
金额:
$10.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-05-15 至 2003-06-30
关键词:

项目摘要

项目成果

Kathleen Comfort的其他基金

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中文摘要
翻译
在过去的十年中,许多州和地区,特别是美国国家科学基金会(NSF)资助的系统倡议(SI)项目,在改革其科学教育体系方面做出了实质性的努力。这些改革的努力有望导致学习的改善,这反过来又会导致所有学生在科学方面取得更高的成就。但是,这些州和地区如何知道他们的努力确实起到了这样的作用呢?他们如何确定所有学生是否都学习了国家科学标准推荐的内容?加州系统倡议评估协作(CSIAC)收集的数据和结果可以帮助回答这些问题。在过去的四年中,CSAIC建立了丰富的学生成绩数据,学校和地区概况数据,以及学生和教师学习机会数据,这些数据来自众多的科学探究项目。CSIAC数据研究建议召集一组专家,包括科学探究参与者,分析和报告不同学生分组的成就数据,并解决有关科学探究努力与所有学生科学成就之间相关性的问题和关注。CSIAC数据研究将为科学教育者提供重要的新信息,他们将利用研究结果和建议更好地理解和使用描述学生分组成就的评估数据。si和其他科学改革工作将利用该研究的结果来指导和改变课程、教学和实践,以便他们的努力将改善所有学生的学习和取得更高的科学成绩。本研究还将扩展目前在测量领域的努力,以探索基于标准的评估对不同学生群体和教育实践的影响。
英文摘要
During the past decade, many states and districts, particularly National Science Foundation (NSF) funded systemic initiative (SI) programs, have made substantial efforts to reform their science eduation systems. these reform effortsare expected to lead to improved learning, which in turn will lead to high achievement in science by all students. But how do these statesand districts know that theirefforts are indded making such a difference? How can they determine if all students are learning the content recommended by national science statandards? The data and results collected by the California Systemic Initiatives Assessment Collaborative (CSIAC) can help answer those questions. Over the last four years, CSAIC has established a rich collection of student acheivement data, school and district profile data, and student and teacher opportunity-to-learn data from numerous SI programs. The CSIAC data study proposes to assemble a group of experts, including SI participants, to analyze and report on this collection of data in terms of the achievement of different subgroups of students, and to address questions andconcerns regarding the correlations between SI efforts and achievement in science by all students.The CSIAC data study will provide important new information to science educators who will use the study's findings and recommendation to better understand and use assessment data that described the achievement of subgroups of students. SIs and other science reform efforts will use the Study's results to inform and change curriculum, instruction and practice so that their efforts will lead to improved learning and high achievement in science by all students. This study will also extend current efforts in the field of measurement to explore the impact of standards-based assessments on differentn groups of students and educational practices.
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会议论文
Research in Standards-Based Science Assessment
  • 批准号:
    0087848
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $170.83万
  • 财政年份:
    2000
  • 负责人:
    Kathleen Comfort
  • 依托单位:
The California Systemic Initiatives Assessment Collaborative
  • 批准号:
    9816805
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.73万
  • 财政年份:
    1998
  • 负责人:
    Kathleen Comfort
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: