This paper analyzes the main functions of the interactive web platform and obtains Korean learners' online learning data from the platform's database. Preprocessing the learner usage behavior data yields the main learner characteristics, and multiple learning behaviors are ranked in descending order of mean value. Integrate the overall learning effects of Korean language learners to identify core learner characteristics. Analyze the correlation within different learning behaviors (course access behavior, resource learning behavior, participation in homework, participation in discussion and interaction), and the correlation between different learning behaviors and course performance. Split learners' usage habits into different learning behavior sequences, and separately explore the multiple linear regression results between different learning behavior sequences and learning achievement. The online learning behavior variables of Korean online course learning are significantly correlated with learners' final academic performance. The correlation coefficients of video viewing completion, homework completion time and the overall course grade are 0.824 and 0.896, respectively, which are all highly positively correlated.
Yan Xu (Fri,) studied this question.