基于网络学习平台的学生行为数据分析

Analysis of Student Behavior Data Based on Network Learning Platform

为响应国家教育事业改革号召,要求各院校应以发展"互联网+教育",共享优质教学资源为重要任务,借助在线学习平台,创新传统教学模式,确保教师能够利用科学手段获取学生数据,切实提升教学水平。在此基础上,本文分析了当前在线学习平台海量学生数据的多维性和复杂性,展示了学生学习行为数据的使用价值。利用可视分析技术,确保抽象、繁杂的学生行为数据能够直观展示出来,以期不断优化教学设计方案,帮助学生有效开展反思性学习。

In response to the call for national education reform,colleges and universities should be encouraged to develop"Internet+education"and share high-quality teaching resources as an important task. With the help of online learning platform,the traditional teaching mode should be innovating to ensure that teachers can use scientific means to acquire student data and enhance teaching level. Based on this,this paper analyzes the multi-dimensional and complexity of the massive student data of the current online learning platform,and shows the value of the use of student learning behavior data. Using visual analysis technology to ensure that the abstract and complex data of students’ behavior can be displayed intuitively,in order to continuously optimize the teaching design and help students to effectively carry out reflective learning.