Prediction model of students' learning behavior on learning effect in online live class based on machine learning algorithm

Ling Peng; Bangwen Jeang

doi:10.1117/12.2669155

28 March 2023 Prediction model of students' learning behavior on learning effect in online live class based on machine learning algorithm

Ling Peng, Bangwen Jeang

Author Affiliations +

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 1256650 (2023) https://doi.org/10.1117/12.2669155
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

With the reform of information-based education, online learning has become a regular way of learning. In order to better help online learners to learn and promote the improvement of teachers' online teaching quality. In this study, the machine learning algorithm was used to mine the data such as the online live class learning behavior of university students on the Super Star Learning platform through Python software, and the online teaching effect prediction model was constructed to better predict the learning effect evaluation of online learners.

Citation Download Citation

Ling Peng and Bangwen Jeang "Prediction model of students' learning behavior on learning effect in online live class based on machine learning algorithm", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 1256650 (28 March 2023); https://doi.org/10.1117/12.2669155

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