Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published April 2022 | Published
Journal Article Open

Questions of Trust: A Survey of Student Expectations and Perspectives on Library Learning Analytics

Abstract

Universities are developing learning analytics initiatives that include academic library participation. Libraries rarely inform their students about learning analytics projects or general library data practices. Without a clear student voice in library learning analytics projects, libraries and librarians are creating potential privacy complications. This study seeks to document students' thoughts on academic library participation in learning analytics and privacy concerns. A survey was developed and fielded at eight US higher education institutions, and this article covers the findings from the approximately 2,200 responses. Although most students reported high levels of trust in libraries and librarians, a consistent minority indicated little or no trust at all. Findings demonstrate that students considered librarian access to and sharing of personally identifiable information to constitute a privacy violation but also lacked awareness of the data and analytic practices on which libraries rely. Notable demographic differences were also discovered.

Additional Information

© 2022 The University of Chicago. This project was made possible in part by the Institute of Museum and Library Services (LG-96-18-0044-18). The views, findings, conclusions, or recommendations expressed in this conference proceeding do not necessarily represent those of the Institute of Museum and Library Services. We thank the undergraduate students who volunteered their time to participate in this study. For more about the study and the research agenda, see the research team's website at https://datadoubles.org.

Attached Files

Published - Asher_2022_QuestionsOfTrust.pdf

Files

Asher_2022_QuestionsOfTrust.pdf
Files (546.0 kB)
Name Size Download all
md5:4c979daa033338bf85b4e9ecb484da2b
546.0 kB Preview Download

Additional details

Created:
October 9, 2023
Modified:
October 24, 2023