Abstract
At present, online teaching is developing rapidly, and with it is how to improve the effectiveness of online teaching. This research constructs learning behavior indicators from the online learning process, and uses logistic regression to analyze the learning data in online teaching, and explores the impact of learners’ online learning behavior on academic performance. The correlation between indicators such as the time lag of course registration, the number of login courses, the number of submitted homework tests, the average of the number of saved exercises, and the degree of completion of video viewing and other indicators and scores were discussed. The study found that the submission of homework tests can be used as key indicators for online teaching and learning performance prediction.
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