Educational data mining and app analytics within mobile platforms: Methods and Results of a Quantitative Analysis

Hahn, James F.

Permalink

https://hdl.handle.net/2142/95767 Copy

Description

Title

Educational data mining and app analytics within mobile platforms: Methods and Results of a Quantitative Analysis

Author(s)

Hahn, James F.

Issue Date

2017-03

Keyword(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.

Type of Resource

• text
• image

Language

en

Permalink

http://hdl.handle.net/2142/95767

Owning Collections