Analysis And Visualization of Online Learning Data Based on Crowd Sensing

Zhongxian Bai
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Abstract

At present, the development of online learning platforms has encountered many difficulties. Too many crowd sensing data fragments generated in online learning for college students. It is difficult for teaching workers to fully grasp the overall situation of students and other issues. This article studies the crowd sensing data fragments generated during the online learning process of college students for visual work. This paper conducts simple visualization research and implementation of simple data types such as one-dimensional data, two-dimensional data, and hierarchical structure on the online learning platform, and conducts detailed research and implementation on the visualization of complex crowd sensing data on the online learning platform. By visualizing the crowd sensing data generated by the online learning platform, the shortcomings and omissions in online education have been found, the teaching quality of educators on the online platform has been improved, and the situation of students can be understood in a timely manner, and the teaching methods have been improved.
基于人群感知的在线学习数据分析与可视化
目前,在线学习平台的发展遇到了很多困难。大学生在线学习中产生的人群感知数据碎片过多。教学工作者难以全面把握学生的整体情况等问题。本文对大学生在线学习过程中产生的群体感知数据片段进行了研究。本文对在线学习平台上的一维数据、二维数据、层次结构等简单数据类型进行了简单的可视化研究与实现,对在线学习平台上复杂人群感知数据的可视化进行了详细的研究与实现。通过对在线学习平台产生的人群感知数据进行可视化,发现在线教育中的不足和疏漏,提高教育工作者在在线平台上的教学质量,及时了解学生的情况,改进教学方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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