Information Literacy Assessment: Standards-Based Tools and Assignments

· American Library Association
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Ebook
216
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About this ebook

"This book provides a resource for information related to assessing the learning outcomes of teaching information skills to students in higher education...a much needed publication for the library and education community..."—Hannelore Rader

Do they 'get it'? Are students mastering information literacy? ACRL's standards for information literacy provide a solid foundation to help faculty and librarians establish the context for learning. Neely, a top information literacy expert, frames these ACRL standards as benchmarks and provides a toolbox of assessment strategies to demonstrate students' learning.

Offering a variety of assignments and assessment tools for those charged with achieving these learning outcomes, she shares best practices and actual sample assessments from a broad range of institutions.

These proven, easily adaptable programs and materials:

  • Represent best practices from 27 institutions (US, Canadian, Australian)
  • Exemplify the best library-related assignments to strengthen information literacy skills
  • Offer proven tips for incorporating the five ACRL standards into instruction
  • Go beyond the classroom, with insights on partnering with teachers and administrators
  • Explain the basics of automating assessments

From one-shot workshops to librarian-led labs to self-contained courses, academic librarians, LIS educators, researchers and secondary school librarians will learn to create comprehensive information literacy plans and evaluate their students' progress.

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5.0
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About the author

Teresa Y. Neely is director of access services, University Libraries, University of New Mexico. Most recently she was head of reference at the Albin O. Kuhn Library & Gallery, University of Maryland, Baltimore County; and an adjunct professor at the College of Information Studies, University of Maryland, College Park. She received her MLS and PhD degrees (LIS) from the School of Information Sciences, University of Pittsburgh.

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