Online learning is a learning method that has gradually emerged in recent years with the development of the Internet.Its convenience and rich learning resources have attracted more and more learners.With the increasing popularity of online learning platforms,massive user data is also generated.How to extract valuable information from these data and promote the improvement of education and teaching quality is an important topic worth thinking about at present.This paper introduces the clustering analysis method of online learning behaviors based on the K-means clustering algorithm algorithm,and empirically proves the effectiveness of this method,providing important data analysis and application support for online learning platforms,and helping teachers and platform managers to adopt teaching strategies and teaching modes in a timely manner to improve the effectiveness of user online learning.
维普
万方数据