Collaborative Project on Integrating Census Data Analysis into the Curriculum

社会学(86)这是一个与美国社会学协会合作的项目(0089006奖)。这个合作项目是与个别教员和整个院系合作，以便将科学推理系统地引入本科课程。该项目正在追求提高社会科学本科生科学素养的目标，为教师和整个系提供工具和专业知识，以便在整个课程中更广泛地整合数据分析和分析严谨性。这一合作建立在两种已经成功的相辅相成的方法的基础上。密歇根大学的社会科学数据分析网络(www.SSDAN.net)项目与全国范围内的教职员工网络合作，利用美国人口普查局的数据共同制作引人入胜的广泛课程材料。SSDAN鼓励和促进个别教员将特别定制的数据分析模块整合到各级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)计划与整个部门合作，以确保结构变化的方式改变他们的课程，以改善少数族裔和所有学生的研究培训。该项目将在16个社会学系的课程中引入SSDAN方法，作为全系范围的干预措施。一个核心目标是改革课程，从而让学生更有序、更普遍地接触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。该项目还对SSDAN网站和数据分析模块创建功能进行了重大修订和更新，这些功能供社会科学和行为科学的教职员工使用。来自美国2000年人口普查、历史人口普查、当前人口调查(CPS)和一般社会调查(GSS)的新数据集正在增加，还提供了由SPSS、SAS、STATA、地理信息系统包进行分析的其他格式，以及新的交互式数据分析功能。该项目正在编写一份“指南”，指导教席和院长如何在不同类型的部门和不同学科中实施部门干预措施。此外，正在出版一本更新以前的SSDAN出版物的工作手册，并通过该网站扩充了可下载的数据集、课程模块和联网能力。

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.