Analysis and visualization of course material page views using a time series cross section and pivot table
Analysis and visualization of course material page views using a time series cross section and pivot table
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使用时间序列横截面和数据透视表对课程材料页面视图进行分析和可视化
DOI：
10.1109/iiai-aai.2017.102
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Konomu DOBASHI
中科院分区：
文献类型：
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作者：
砂岡和子;室井禎之編著;Konomu DOBASHI
本文描述了Moodle学生事件日志的分析和可视化。提出了一种自动生成主元表和时间序列截面表的方法，并对实验结果进行了总结。事件日志是在一个面对面的混合教室中积累的，有大量的学生使用上传到Moodle上的课程材料。对于累积的事件日志，进行了一项实验，以自动生成枢轴和TSCS表与开发的Excel宏。因此，对于课内和课外的课程材料页面视图、查看所有课程材料和单个课程材料以及查看所收集的和单个学生的行为，可以可视化整体和单个观点。生成的透视表和TSCS表可用于清楚地识别在课堂上没有打开课程材料的学生和在老师指示之后打开课程材料的学生。本文的分析结果可供教师回顾课程进展并提出改进建议。
This paper describes the analysis and visualization of a Moodle student event log. A method for automatically generating pivot and time series cross section (TSCS) tables is proposed, and experimental results are summarized. The event log was accumulated in a face-to-face blended classroom with a large number of students using course materials uploaded on Moodle. For the accumulated event log, an experiment to automatically generate pivot and TSCS tables with the developed Excel macros was performed. As a result, both overall and individual viewpoints could be visualized for course material page views within classes and outside of class, viewing of all course materials and individual course materials, and viewing behavior of collected and individual students. The generated pivot and TSCS tables could be used to clearly identify students who did not open the course materials during class and those who opened the course materials later than instructed by the teacher. The results of the analysis in this paper can be used by teachers to look back on the progress of their lessons and provide suggestions for improvement.