Have you ever attended a workshop and promptly forgot most of what you learned a few days later? Given that library staff teach hundreds of library instruction sessions each semester through training workshops, course-integrated sessions, campus workshops, etc., this is an issue that is probably affecting those who attend our instruction sessions as well. Librarians explored a potential solution to this problem by testing an implementation of "Learning Boosters."
Posts tagged "methodology"
from Tiny Studies
Ask a Librarian email and instant messaging (IM) service providers targeted current users of our virtual reference services during 2016-2017, to gather feedback about our online research and reference service. We wanted to know more about users' motivation for seeking help via email and via IM, as well as users' satisfaction with their online interactions. Additionally, we were interested in gathering users' ideas for future IM service enhancements.
Like many academic research libraries, the University of Michigan Library has a promotion process for its librarians. And, like many libraries, the policies need to be reviewed on occasion. The Promotion and Appointment of Librarians (PAL) Task Force was charged by the Librarians’ Forum with reviewing our promotion process and making recommendations to better align what we do with the goals of both individuals and the Library. This Task Force utilized various qualitative and quantitative...
The U-M Shapiro Undergraduate Library (UGL) collection serves the course-related and extracurricular information needs of U-M undergraduate students. This collection encourages students to explore new ideas, gain research skills, and become lifelong learners. How can we tailor this small collection (approximately 175,000 volumes) to meet their current needs?
Maybe you’ve heard of or lived with a roommate who never washed the dishes, who talked loudly on the phone late into the night or who stiffed you on rent. Not fun. Bias in our research isn’t fun either. It distorts the nature of the data we collect, analyze and share.
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