We live in a data-driven world, much of it processed and served up by increasingly complex algorithms, and evaluating its quality requires its own skillset. As a component of information literacy, it' ...Celý popis
We live in a data-driven world, much of it processed and served up by increasingly complex algorithms, and evaluating its quality requires its own skillset. As a component of information literacy, it's crucial that students learn how to think critically about statistics, data, and related visualizations. Here, Bauder and her fellow contributors show how librarians are helping students to access, interpret, critically assess, manage, handle, and ethically use data. Offering readers a roadmap for effectively teaching data literacy at the undergraduate level, this volume explores such topics as
the potential for large-scale library/faculty partnerships to incorporate data literacy instruction across the undergraduate curriculum
how the principles of the ACRL Framework for Information Literacy for Higher Education can help to situate data literacy within a broader information literacy context
a report on the expectations of classroom faculty concerning their students' data literacy skills
various ways that librarians can partner with faculty
case studies of two initiatives spearheaded by Purdue University Libraries and University of Houston Libraries that support faculty as they integrate more work with data into their courses
Barnard College's Empirical Reasoning Center, which provides workshops and walk-in consultations to more than a thousand students annually
how a one-shot session using the PolicyMap data mapping tool can be used to teach students from many different disciplines
diving into quantitative data to determine the truth or falsity of potential "fake news" claims and
a for-credit, librarian-taught course on information dissemination and the ethical use of information.
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