A Qualitative Assessment of Efforts to Integrate Data Analysis throughout the Sociology Curriculum: Feedback from Students, Faculty, and Alumni
A Qualitative Assessment of Efforts to Integrate Data Analysis throughout the Sociology Curriculum: Feedback from Students, Faculty, and Alumni
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对将数据分析整合到整个社会学课程中的努力的定性评估：学生、教师和校友的反馈
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发表时间：
2010
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通讯作者：
E. I. Wilder
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作者：
E. I. Wilder
数量和计算机素养越来越被认为是社会学通识教育的核心组成部分。本研究利用学生，教师和校友的问卷调查，以确定被认为是最重要的学生参加社会学课程的定量识字技能的种类。雷曼学院的答卷人强调，需要在一些关键领域获得专业知识，包括：（a）基本的数学和统计技能，如集中趋势、比率和百分比的衡量;（B）定量数据的介绍和解释，包括表格和图表;（c）研究过程，如提出假设、抽样和解释数据;及（d）以计算机为基础的陈述及数据分析，包括使用SPSS及Excel等软件程序。此外，所有答复者都高度重视数据分析方面的动手工作，特别是作为掌握这些技能的一种战略。这项研究表明，有效的教育数量素养需要（a）消除障碍，将数据分析纳入社会学课程和（B）一个有序的社会学课程，精确定位具体的定量和计算机素养的学习目标，在多个课程层次。
Quantitative and computer literacy are increasingly recognized as core components of a liberal education in sociology. This study draws on student, faculty, and alumni questionnaires to identify the kinds of quantitative literacy skills that are perceived to be most critical for students enrolled in sociology courses. Respondents at Lehman College highlighted the need for proficiencies in a number of key areas, including (a) basic mathematical and statistical skills, such as measures of central tendency, ratios, and percentages; (b) the presentation and interpretation of quantitative data, including tables and charts; (c) the research process, such as developing hypotheses, sampling, and interpreting data; and (d) computer-based presentation and data analysis, including the use of software programs such as SPSS and Excel. Moreover, hands-on work in data analysis was highly valued by all respondents, particularly as a strategy for mastering these skills. This study suggests that effective education in quantitative literacy requires both (a) the removal of barriers to the incorporation of data analysis in sociology courses and (b) a well-sequenced sociology curriculum that pinpoints specific quantitative and computer literacy learning objectives at multiple course levels.