What is it about?
This article looks at uses of the Minrva app by first year students during their first semester of study.
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Why is it important?
By undertaking this study we have a better understanding about what students are finding useful within the app, and what tools are not being used by this cohort in their first semester
Perspectives
The value of this research is in helping system designers and first-year experience planners know what mobile support tools students are finding useful in their first semester. Implication for mobile interface design based on module popularity are discussed.
Jim Hahn
University of Illinois at Urbana-Champaign
Read the Original
This page is a summary of: Use and Users of the Minrva mobile app, Reference Services Review, June 2017, Emerald,
DOI: 10.1108/rsr-09-2016-0056.
You can read the full text:
Resources
API analysis of the Minrva mobile app (May 2015 – December 2015)
Files in this dataset represent an investigation into use of the Library mobile app Minrva during the months of May 2015 through December 2015. During this time interval 45,975 API hits were recorded by the Minrva web server. The dataset included herein is an analysis of the following: 1) a delineation of API hits to mobile app modules use in the Minrva app by month, 2) a general analysis of Minrva app downloads to module use, and 3) the annotated data file providing associations from API hits to specific modules used, organized by month (May 2015 – December 2015).
Educational data mining and app analytics within mobile platforms: Methods and Results of a Quantitative Analysis
This presentation details data analysis methods and findings from an investigation into new undergraduate student library engagement by way of the library mobile app after new student orientation. The quantitative study used API log analysis in order to better understand what parts of the app new students use after downloading. Splunk Enterprise and Tableau made server analysis possible and highly accurate by filtering out automated sources and local IP ranges by date and time.
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