Data literacy in flux: Perspectives of community college librarians on evolving educational demands and library capacities

IF 2.4 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Library & Information Science Research Pub Date : 2024-10-01 DOI:10.1016/j.lisr.2024.101327
Jeonghyun Kim, Sarah Evans, Lingzi Hong, Erin Rice-Oyler, Lydia Ogbadu-Oladapo
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引用次数: 0

Abstract

The current competitive job market emphasizes the need for broad data literacy skills, expecting students in higher education to be data literate. Community colleges are called upon to support students' data literacy, and community college libraries are expected to incorporate data literacy instruction across the curriculum. Semi-structured interviews were conducted with 21 community college librarians to explore their perspectives regarding data literacy. Community college librarians recognize the significance of data literacy for their students' academic success and professional development. Some have integrated data literacy training into their current roles, while many still seek ways to enhance their readiness to offer support in this area. The study findings highlight the importance of identifying the roles and contributions of community college librarians in empowering and enhancing students' data literacy needs.
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变化中的数据素养:社区大学图书馆员对不断变化的教育需求和图书馆能力的看法
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来源期刊
Library & Information Science Research
Library & Information Science Research INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.60
自引率
6.90%
发文量
51
期刊介绍: Library & Information Science Research, a cross-disciplinary and refereed journal, focuses on the research process in library and information science as well as research findings and, where applicable, their practical applications and significance. All papers are subject to a double-blind reviewing process.
期刊最新文献
The user experience of university library: A text mining analysis of a Q&A platform in China Data literacy in flux: Perspectives of community college librarians on evolving educational demands and library capacities Interpretable analysis of public library service outcomes based on ensemble learning models: Data study from China (2007–2021) A systematic review of library services platforms research and research agenda Editorial Board
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