Automatic data integration from Moodle course logs to pivot tables for time series cross section analysis

Dobashi, Konomu (2017) Automatic data integration from Moodle course logs to pivot tables for time series cross section analysis. Procedia Computer Science, 112. pp. 1835-1844.

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Official URL: http://www.sciencedirect.com/science/article/pii/S...

Abstract

This paper describes a data integration method for Moodle course logs and pivot table functions to analyze the behavior of students’ material page views in face-to-face blended learning using Moodle course materials. The developed method integrates the data with a pivot table by preprocessing Moodle course logs and generates a time series cross section (TSCS) table that visualizes the student’s course material page views. Experiments conducted on Moodle page views of actual materials collected during actual lessons found that the table visualizes both overall and individual viewpoints. Reactions to teacher instructions on course materials during class can also be visualized by the generated TSCS table. Moreover, because students who open course items late or do not open them can be identified clearly, the method can be used as a reference for improving future classes.

Item Type: Article
Uncontrolled Keywords: cross section, data integration, educational data mining, Moodle, page views, pivot table, time series, visualization
Depositing User: Elizabeth Dalton
Date Deposited: 16 Dec 2019 23:40
Last Modified: 16 Dec 2019 23:40
URI: http://research.moodle.org/id/eprint/440

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