Clustering Research on Learning Behavior of Online Moral Education Course Based on K-Means Algorithm

With the development of Internet study, big data mining for Internet learners is forming a new research direction. Network higher education institutions offer higher education with distance learning for continuous learning. Based on the analysis of the learning diaries of the students in the network of Xi'an Jiaotong University, this study aims to reveal the learning situation of the students in the network of higher education institutions and probe the relationship between the typical Internet study abroad. Based on the statistical analysis of the log data, the aggregation analysis is carried out according to the number of main knowledge points mastered by learners and the realization rate of relevant main knowledge points, and the learners of Internet colleges and universities are classified. The Spearman correlation coefficient is used to analyze the relationship between various learning activities and the achievements of learners. The result provides an important basis for further improvement and a more accurate evaluation of online teaching in the future.