Abstract
Education platform learning is a kind of autonomous learning, which is manifested as learners’ autonomous control of learning behavior on their own education platform. In order to better improve the practical application effect of education platform, this paper proposes a monitoring method of students’ learning behavior based on data mining technology, and uses data mining technology to collect and analyze students’ learning behavior The process and results of the monitoring function to evaluate students’ learning behavior. Based on the clear definition of learning behavior of educational platform, this paper studies the monitoring mechanism of learning behavior of educational platform from the visual angle, so as to improve the learning effect and quality of educational platform.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, Cz., Chen, Z., Li, Yx. (2021). Monitoring Method of students’ Learning Behavior in Online Education Platform Based on Data Mining. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-030-84386-1_39
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DOI: https://doi.org/10.1007/978-3-030-84386-1_39
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