Collaborative Project on Integrating Census Data Analysis into the Curriculum

将人口普查数据分析纳入课程的合作项目

• 批准号: 0088715
• 负责人: William Frey
• 金额: $ 52.22万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-05-15 至 2007-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0088715&HistoricalAwards=false
• 关键词: Collaborative; Project; Integrating; Census; Data

Sociology (86)This is a collaborative project with the American Sociological Association (Award 0089006). This collaborative project is working with individual faculty and whole departments in order to introduce scientific reasoning systematically into the undergraduate curriculum. The project is pursuing the goal of improved scientific literacy among undergraduate students in the social sciences by providing teachers and whole departments with tools and expertise to integrate data analysis and analytic rigor more widely throughout the curriculum.This collaboration is building upon two already successful approaches that complement each other. The Social Science Data Analysis Network (www.SSDAN.net ) project at the University of Michigan has worked with a nationwide network of faculty to co-produce engaging, wide-ranging curricular materials with US Census Bureau data. SSDAN encourages and facilitates individual faculty to integrate specially tailored, data analysis modules into substantive social science courses at all levels. The American Sociological Association's (ASA's) Minority Opportunities through Structural Transformation (MOST) Program has worked with entire departments to alter their curriculum in ways that ensure structural change toward improved research training of minorities and all students. This project is introducing SSDAN approaches as department-wide interventions in a critical mass of courses in the curriculum of 16 sociology departments. A core goal is to transform the curriculum and thus give students a more sequenced and pervasive exposure to scientific reasoning and data analytic skills. Workshops, follow-up visits, interactions with the Michigan and ASA staffs along with departmental websites are being utilized to support the full implementation and evaluation of this intervention. The project is also significantly revising and updating the SSDAN website and data analysis module creation features used by faculty across the social and behavioral sciences. New datasets from the US 2000 Census, historical censuses, CPS (Current Population Survey), and GSS (General Social Survey) are being added, and additional formats for analysis by SPSS, SAS, STATA, GIS packages, and new interactive data analysis features are also being provided. The project is working on a "Guide" that instructs chairs and deans how to implement departmental interventions across different types of departments and diverse disciplines. In addition, a published workbook updating earlier SSDAN publications and an expanded bank of downloadable datasets, course modules, and networking capabilities via the website is being produced.

社会学（86）与美国社会学学会合作项目（奖励0089006）。为了将科学推理系统地引入本科课程，该合作项目正在与个别教师和整个系合作。该项目旨在通过为教师和整个院系提供工具和专业知识，在整个课程中更广泛地整合数据分析和分析严谨性，从而提高社会科学本科生的科学素养。这种合作是建立在两种已经成功的、相互补充的方法之上的。密歇根大学的社会科学数据分析网络（www.SSDAN.net）项目与一个全国性的教师网络合作，根据美国人口普查局的数据，共同制作了引人入胜、内容广泛的课程材料。SSDAN鼓励并帮助个别教师将专门定制的数据分析模块整合到所有级别的实质性社会科学课程中。美国社会学协会（ASA）的“通过结构转型的少数族裔机会”（MOST）项目与整个院系合作，以确保结构变革的方式改善少数族裔和所有学生的研究培训。该项目将SSDAN方法引入16个社会学系的课程中，作为全系的干预措施。核心目标是改变课程设置，从而让学生更有序、更普遍地接触到科学推理和数据分析技能。正在利用讲习班、后续访问、与密歇根州和ASA工作人员的互动以及部门网站来支持这一干预措施的全面实施和评估。该项目还大幅修订和更新了SSDAN网站和数据分析模块创建功能，供社会和行为科学的教师使用。加入了美国2000年人口普查、历史人口普查、当前人口调查（CPS）和综合社会调查（GSS）的新数据集，并提供了SPSS、SAS、STATA、GIS软件包分析的附加格式，以及新的交互式数据分析功能。该项目正在制定一份“指南”，指导系主任和院长如何在不同类型的院系和不同学科中实施部门干预。此外，正在出版一本工作手册，更新以前的SSDAN出版物，并通过网站扩大可下载的数据集、课程模块和联网能力。