Analysis And Visualization of Online Learning Data Based on Crowd Sensing

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.