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Integrating Data Analysis into the Curriculum: Responding to the Scientific Literacy Gap Among Undergraduate Students in the Social Sciences

Integrating Data Analysis into the Curriculum: Responding to the Scientific Literacy Gap Among Undergraduate Students in the Social Sciences
将数据分析融入课程:应对社会科学本科生科学素养差距
批准号:
0411041
负责人:
Esther Wilder
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-01 至 2007-08-31

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中文摘要
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英文摘要
Sociology (86)This project is adapting the Integrating Data Analysis (IDA) approach to undergraduate education that has been developed by the American Sociological Association and the Social Science Data Analysis Network. The IDA project is designed to address the scientific literacy gap among undergraduate students in sociology by incorporating data modules into non-research methods courses. In working with these data modules, students engage in investigative research and gain experience testing hypotheses and interpreting statistical data. The proposed project is incorporating a variety of well-designed research experiences into a range of sociology classes from the introductory ones through the most advanced electives. The common thread that defines this approach to sociology is that students are engaging in empirical research and critically evaluating data throughout their college program. Our adaptation of the IDA approach is meeting the special needs of a teaching-oriented sociology program with a high student/faculty ratio, large enrollments by non-sociology majors, and a substantial number of evening and weekend students at a non-residential Hispanic-serving and minority-serving institution.
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会议论文
Building Capacity: A Faculty Development Program to Increase Students' Quantitative Reasoning Skills
Collaborative Research: Numeracy Infusion for College Educators (NICE)
Numeracy Infusion Course for Higher Education (NICHE): A Project of The City University of New York (CUNY) Quantitative Reasoning (QR) Alliance
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: