Research on Online Learning User Profile Based on K-means Algorithm

Abstract

Online learning is an important way for learners to acquire knowledge. It helps learners to choose time and place flexibly and improve the efficiency and autonomy of learning. Based on the analysis of the current situation of online learning and user portrait, the general process of online learning user portrait is proposed. Through the data collection of an online course, five dimensions of online learners are selected to cluster the online learners. The experimental results show that the clustering results are satisfactory when the learners of the course are clustered into four categories, Help to improve the effect of online learning. Through the in-depth analysis of the characteristics of online learning group portrait, it provides a reference basis for improving the effect of online learning.