We will be presenting at the 2014 John Tate Academic Advising Conference on Thursday March 13, 2014 on campus here at the University of Minnesota
Our session details are as follows:
Isn't all on Google!?! Myths and Realities of Student Library Use
Presenters: Kate Peterson, Shane Nackerud, Jan Fransen, Kristen Mastel
Want to help your students engage more academically? The Libraries could help. The University Libraries, with OIR, have collected and analyzed data to gain a picture of library use at the U. Learn more about how library use relates to student success and retention.
More details: http://blog.lib.umn.edu/acadweb/aan/tate_award_conference/
Can we tie library usage data to student success? Yes! The goal of this project: to show, using university metrics of success, what library use does for student success at the U of M. The Library Data and Student Success project is a partnership between the University of Minnesota Libraries and the Office of Institutional Research.
Monday, February 24, 2014
Friday, February 7, 2014
"As space"
We are beginning work on some future space plans in our largest library on campus. Based on all of the data we collected for our Student Success projects, the new work group wanted to know about what we could pull out to inform the space project. Logical, right?
But disappointing because the answer is not much. When setting up the data collection for our original project we wanted to know who was "using the libraries" in one or more than one of the ways we outlined. But we didn't collect the "what" that was being used (e.g. collected that x student checked out a book but not which book; gathered that x student used a computer in one of the libraries but not which library, etc.). This was a deliberate and thoughtful decision for our initial project to protect user privacy.
Yet we are now unable to go back to the data and try to find out more about the "what." We are now trying a little of this. For our space project we have flipped this--gather data tied to a specific place but not x student. So we can get a snapshot (e.g. College) but not to the depth of our earlier work. Below is a quick chart of use of the library computers in 2012-2013 in the largest library on our campus and the associated colleges.
But disappointing because the answer is not much. When setting up the data collection for our original project we wanted to know who was "using the libraries" in one or more than one of the ways we outlined. But we didn't collect the "what" that was being used (e.g. collected that x student checked out a book but not which book; gathered that x student used a computer in one of the libraries but not which library, etc.). This was a deliberate and thoughtful decision for our initial project to protect user privacy.
Yet we are now unable to go back to the data and try to find out more about the "what." We are now trying a little of this. For our space project we have flipped this--gather data tied to a specific place but not x student. So we can get a snapshot (e.g. College) but not to the depth of our earlier work. Below is a quick chart of use of the library computers in 2012-2013 in the largest library on our campus and the associated colleges.
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