Space, Culture, and Urban Policy: Integrating GIS into Social Science Research Methods Courses

()社会科学其他本项目建议创建两个教学模块，向高年级社会科学研究方法和数据分析课程的本科生介绍如何利用地理信息系统软件可视化量化数据和进行空间分析。该项目正在将技术整合到教育中，并正在解决几个问题：-除了地理之外的本科社会科学未能解决数据的空间方面；-许多社会科学学生对研究方法和数据分析课程表示恐惧-以至于阻碍了学生主修社会科学；以及-教师在平衡传统和高科技教学方法方面的困难。该项目的目标是创建两个教学模块--每个模块包括教科书、光盘和网站--以补充传统的研究方法和数据分析课程。第一个模块是为社会科学研究方法课程设计的。二是针对社会科学数据分析课程。这些模块使用了关于城市、文化和城市政策的六个主要数据来源：联合国人类住区委员会关于城市的数据、2000年美国住房和人口普查、罗格斯城市政策研究中心的国家城市(SONC)数据库、国家民意研究中心的一般社会调查(GSS)数据、罗珀社会资本基准2000数据(由哈佛大学的罗伯特·普特南指导开发)以及州和地方投票数据。一个由五人组成的团队将与一个国家顾问小组合作，由来自七所大学的教师协助测试这些模块。该项目涉及旧金山州立大学和圣何塞州立大学的教员与其他七所机构的教员的合作：辛辛那提大学、霍华德大学、伊利诺伊大学厄巴纳-香槟分校、纽约州立大学系统的麦加·埃弗斯学院、佐治亚理工学院、匹兹堡大学和克利夫兰州立大学。来自加州大学伯克利分校、加州大学圣巴巴拉分校和大都会地区研究公司的专家将协助该项目。

(89) Social Science OtherThis project proposes to create two instructional modules to introduce undergraduate students in upper division social science research methods and data analysis courses to visualizing quantitative data and doing spatial analysis using Geographical Information Systems (GIS) software. The project is integrating technology into education and is addressing several problems:- the failure of the undergraduate social sciences other than geography to address spatial aspects of data;- the fear expressed by many social science students of research methods and data analysis courses - to the point of discouraging students from majoring in the social sciences; and- faculty difficulties in balancing conventional and hi-tech teaching methods.The objective of the project is to create two instructional modules -- each consisting of a textbook, CD-ROM, and website -- to augment conventional research methods and data analysis courses. The first module is being designed for social science research methods courses. The second is aimed at social science data analysis courses. The modules are using six main sources of data about cities, culture, and urban policy: United Nations Commission on Human Settlements data on cities, the 2000 U.S. Census of Housing and Population, The State of the Nation's Cities (SONC) database from the Rutgers Center for Urban Policy Research, General Social Survey (GSS)data from the National Opinion Research Center, the Roper Social Capital Benchmark 2000 data (developed under the direction of Robert Putnam of Harvard University), and state and local voting data. A five-person team will work with a national advisory panel, assisted by faculty from seven universities who will test the modules. The project involves collaboration between faculty from San Francisco State University and San Jose State University with faculty from the seven other institutions: The University of Cincinnati; Howard University; The University of Illinois, Urbana-Champaign; Medgar Evers College of the CUNY System; Georgia Institute of Technology, The University of Pittsburgh, and Cleveland State University. Experts from the University of California, Berkeley; University of California, Santa Barbara; and the Metropolitan Area Research Corporation will assist the project.