在“互联网+”时代，网络学习已经成为学校教育教学的重要组成部分。文章选取某高职院校《计算机应用基 础》网络课程为分析对象，运用聚类技术对高职院校学生在线学习行为进行数据分析，建立学生特征分类模型，为教师优化教 学提供决策参考、为学生推送学习建议，以提高网络教学的效果。

In the era of "Internet +", online learning has become an important part of school education. This paper takes the course of Foundation of Computer Application as the analysis object; uses the clustering technology to analyze the online learning behavior data of higher vocational college students; establishes the classification model of student characteristics, to provide decision- making reference for teachers and learning advice for students, to improve the effect of network teaching.