Analysis of the effectiveness of online learning based on the number of eye movement regression

With the sudden outbreak of COVID-19, various countries suddenly turned to emergency online distance learning, which caused doubts about the effectiveness of online learning, and more and more attention was paid to the research on the effectiveness of online learning. Under this background, in this study, the GazeQuiz program, which was developed in-house, was used to collect eye-tracking data to capture the subjects' staring and eye movement regression counts for each question, and to capture the subjects' cognitive styles based on Felder and Soloman's learning style index. With the help of Tobbi eye movement meter, this paper analyses the relevant data of students' eye movement regression, and understands the cognitive process of students' online learning. The analysis of students' eye movement regression and staring time on questions can facilitate teachers' understanding of students' cognitive processes, cognitive characteristics, overall learning content mastery, which can have a positive effect on improving educational teaching strategies.