Learning Effect Analysis Based on Association Rules in Online Education

Abstract

With the coming of education informatization and big data, educational data has become a hot topic nowadays. The analysis results of educational data provide empirical evidence for educational decision-making. Using dataset from a university, we put forward a framework to study several factors which influence students’ learning effect. Moreover, we used Apriori association rules to analyze several students’ learning behaviors, and found three intriguing phenomena. Finally, we put forward some corresponding recommendations to improve students’ learning effectiveness.