基于Tableau实现在线教育大数据的可视化分析

Visualization of Online Education Big Data Based on Tableau

学习者在慕课平台上的所有学习行为都会以形式多样的数据形式记录下来,这些大量的学习行为数据,为教育研究者进行学习者分析提供了条件。对教育大数据的挖掘可以达到深入了解学习者学习状态和差异的目的,学习分析可视化便于更直观地展现分析结果。Tableau可视化分析软件无须用户编写代码,操作简易、分析灵活,适合非计算机专业的教育研究人员使用。文章利用Tableau软件对Canvas Network开放学习者数据集进行探索和分析,力图多维度展现慕课学习者特征和学习状况,为在线学习者分析研究提供借鉴参考。

All learning behaviors of learners on the MOOC platform will be recorded in a variety of forms of data.These large amounts of learning behavior data provide the conditions for learners to analyze for education researchers.The mining of educational big data can achieve the purpose of in-depth understanding of learners'learning status and differences,and learning analysis visualization can facilitate more intuitive display of the analysis results.Tableau visual analysis software does not require the user to write code,easy to operate,flexible analysis,suitable for non-computer education professionals to use.The article explores and analyzes Canvas Network's Open Learner's dataset with Tableau software in an effort to reveal the characteristics and learning status of the learners in multidimensional and provide references for online learners to analyze and study.