Abstract

AbstractThe emergence of online learning platforms means learners have a variety of learning behavior patterns. Many studies have found that there is a certain correlation between online learning behavior and learning performance. To better optimize the function of an online learning platform in hybrid teaching mode and further improve the quality of teaching and learning, this paper takes the 5y online learning platform as the target scene, and uses the online learning behavior data of 2205 learners and final exam score data as the breakthrough point of learning analytics. Through factor analysis on the behavior data of 13 measurement indicators of learners, this paper uses multiple linear regression model to analyze the correlation between learners’ online learning behavior and their final exam scores. The research found that the final examination results of learners are obviously positively correlated with the basic question factors and comprehensive question factors. Therefore, teachers and students who use 5y platform should focus on the use of knowledge point tests and unit tests to improve the quality of teaching and learning within the limited class time.KeywordsOnline learningLearning analyticsLinear regression

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