Abstract: In the educational environment of informatization and globalization, online education platforms such as MOOC, Khan Academy, and Higher Quality Courses emerge. Improving the efficiency of student learning has become one of the challenges facing online education.At present, the researchers have different attitudes towards the factors that influence the learning effect in the online learning process. This paper explores and validates the factors that influence learners’ learning efficiency in the process of online teaching by using the online education platform data of a university. After analyzing the characteristics of statistical and association rules mining algorithm, the data are preprocessed, analyzed by statistical and Apriori correlation analysis algorithm, and the results are presented by visualization.The results show that the average scores of teachers’ marking work are negatively correlated with the workload of teachers’ marking. The students’ online work is generally “delayed”; the learning effect is positively correlated with the number of login, online time and online discussion. Finally, the results of the analysis are given to improve the learning effect of the online learning process.

Key words: education modernization, big data, data mining, visualization