Data Literacy in the Social Sciences: Findings from a Local Study on Teaching with Quantitative Data in Undergraduate Courses

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Patricia B. Condon, Eleta Exline, Louise Buckley
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引用次数: 1

Abstract

Objective – The University of New Hampshire (UNH) Library conducted an exploratory study of the pedagogical practices of social science instructors at UNH who teach using quantitative data in undergraduate courses. This study is connected to a suite of parallel studies at other higher education institutions that was designed and coordinated by Ithaka S+R. The four aims of this study were to explore the ways in which instructors teach and engage undergraduates in the social sciences using quantitative data; understand the support needs of these instructors; develop actionable recommendations for campus stakeholders; and identify opportunities for the development of resources, services, or activities in the library to support the use of quantitative data in the classroom. Methods – For the UNH study, the research team recruited eleven participants through convenience sampling for one-on-one, semi-structured interviews. The study sample included lecturers, assistant professors, associate professors, and full professors across seven social science disciplines from the Durham and Manchester campuses. Results – Courses using data provide a unique opportunity for students to gain experience by working with hands-on examples. The two overarching themes identified speak to both the motivations of instructors who teach with data and the challenges and opportunities they face: teaching with data for data literacy and scientific literacy and teaching with data for statistical, data, and tools skill building. Conclusion – Data literacy is an important set of competencies in part because of the quality and quantity of data students encounter; they need to have the ability to critically evaluate data, methods, and claims. This study directed attention to an area that had not previously been examined at UNH and is an important first step toward creating greater awareness and community of practice for social science instructors teaching with data. The UNH Library offers research data services and is exploring new ways of supporting data literacy. UNH has opportunities to create additional supports for instructors and students that could improve student learning outcomes. Such efforts may require cross-college or cross-department coordination as well as administrative support.
社会科学中的数据素养:基于本地本科生定量数据教学的研究结果
目标——新罕布什尔大学图书馆对新罕布什尔大学社会科学讲师的教学实践进行了探索性研究,这些讲师在本科生课程中使用定量数据进行教学。这项研究与伊萨卡S+R设计和协调的其他高等教育机构的一系列平行研究有关。本研究的四个目的是探索教师使用定量数据教授和吸引本科生参与社会科学的方式;了解这些教员的支持需求;为校园利益相关者制定可行的建议;并确定图书馆资源、服务或活动的开发机会,以支持在课堂上使用定量数据。方法——在UNH研究中,研究团队通过方便抽样招募了11名参与者,进行一对一、半结构化访谈。研究样本包括来自达勒姆和曼彻斯特校区的七个社会科学学科的讲师、助理教授、副教授和正教授。结果-使用数据的课程为学生提供了一个独特的机会,让他们通过实践例子获得经验。确定的两个总体主题既谈到了用数据教学的教师的动机,也谈到了他们面临的挑战和机遇:用数据教学提高数据素养和科学素养,用数据教学促进统计、数据和工具技能建设。结论——数据素养是一套重要的能力,部分原因是学生所遇到的数据的质量和数量;他们需要具备批判性地评估数据、方法和声明的能力。这项研究将注意力集中在UNH以前没有研究过的一个领域,是为使用数据教学的社会科学教师创造更高意识和实践社区的重要第一步。UNH图书馆提供研究数据服务,并正在探索支持数据扫盲的新方法。UNH有机会为教师和学生提供额外的支持,以提高学生的学习成绩。这种努力可能需要跨学院或跨部门的协调以及行政支持。
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来源期刊
Evidence Based Library and Information Practice
Evidence Based Library and Information Practice INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
0.80
自引率
12.50%
发文量
44
审稿时长
12 weeks
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