Files in this item
| Files | Description | Format |
|---|---|---|
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application/pdf  HAHN_ACRL2017_FINAL.pdf (11MB) | presentation |
Description
| Title: | Educational data mining and app analytics within mobile platforms: Methods and Results of a Quantitative Analysis |
| Author(s): | Hahn, James F. |
| Subject(s): | data mining
app analytics mobile platforms |
| Abstract: | 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. |
| Issue Date: | 2017-03 |
| Citation Info: | Hahn, J., "Educational Data Mining and App Analytics Within Mobile Platforms: Methods and Results of a Quantitative Analysis," Association of College and Research Libraries Annual Conference, TechConnect Presentation, Baltimore, MD: March 24, 2017. |
| Genre: | Presentation / Lecture / Speech |
| Type: | Text image |
| Language: | English |
| URI: | http://hdl.handle.net/2142/95767 |
| Date Available in IDEALS: | 2017-03-24 |
This item appears in the following Collection(s)
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Faculty and Staff Research - University Library
Research and scholarship of the Library faculty and staff