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Now showing 1 - 4 of 4
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    When Stars Align: Redesigning an instruction and assessment program to align with the Framework for Information Literacy
    (2018-05) Inge Carpenter, Lindsay; Gammons, Rachel; Sly, Jordan
    The University of Maryland Libraries’ instruction program serves nearly 20,000 students per year. In 2015, with the introduction of the ACRL Framework, we began the process of redesigning this program; starting with learning outcomes and moving up through curriculum mapping and assessment. We present a case study for how a library system can work together to create a collaborative, cohesive, and diverse instruction and assessment program that is structured but flexible enough to meet the needs of individual librarians and units. The breakout session will feature concrete strategies for learning outcomes development, curriculum mapping, and programmatic assessment.
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    Gaming with Kahoot! in one-shot library instruction
    (2018-06-14) Tchangalova, Nedelina; Houpt, Kirsten; Ritchie, Stephanie
    This poster will discuss librarians’ experiences to increase student engagement and learning in one-shot library instruction classes. Kahoot!, an open source game-based learning platform, was used to reinforce concepts taught during undergraduate classes and to assess student learning. Feedback from student responses indicate that they valued this exercise.
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    Assessing Course Reserves: Creating a Library-Wide Annual Report
    (2017-11-29) Thompson, Hilary
    Hilary will share how she and her colleagues approached creating the University of Maryland Libraries’ first annual report for course reserves. She will present their priorities and goals for this assessment project; share the questions they sought to answer and strategies for doing so; and discuss challenges encountered during their data collection and analysis.
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    A SCUA Snapshot: collection users and usage based on statistics from Aeon
    (2017-06-08) Hawk, Amanda
    Presented at the 2017 Libraries Research and Innovative Practice Forum, this poster provides an analysis of statistics gathered from Aeon, a special collections management system used by the Special Collections and University Archives (SCUA) unit in Hornbake Library. The statistics cover the period from August 1, 2014 through May 31, 2017, presenting almost three years of data trends since automating the collection registration and request process, as well as an explanation of the limitations of the reporting system. I also consider how Special Collections and University Archives might utilize statistical information to make changes within the unit.