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28 December 2022 Online learning effect analysis based on machine learning
Junyu Su, Fengling Wang, Wenjian Liu, Chiyu Shi
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Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125066L (2022) https://doi.org/10.1117/12.2662628
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
Online learning has grown in popularity due to the advancement of Internet technology, and how to accurately assess its efficacy has emerged as a major challenge. Online learning provides advantages and benefits in terms of enhancing people’s learning effectiveness and cognitive approach, but it also faces numerous obstacles as a new learning technique and educational model. To increase the efficacy of online learning, we assess and investigate the existing state, shortcomings, learning effects, and behavioral evaluation of online learning in this research.
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Junyu Su, Fengling Wang, Wenjian Liu, and Chiyu Shi "Online learning effect analysis based on machine learning", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125066L (28 December 2022); https://doi.org/10.1117/12.2662628
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KEYWORDS
Machine learning
Analytical research
Video
Data modeling
Internet
Data mining
Information technology
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