Article Gold Open Access 2022

The Practice and Reform of Classroom Teaching Based on the Coordination of Online Environment and Deep Learning

ZS
Zhou, Sha
 LB
Long, Baoxin
Wireless Communications and Mobile Computing
Journal · Vol. 2022 · Art. 8576037
Abstract

By analyzing and reflecting on the characteristics of the network in teaching applications and some problems that arise in the traditional classroom teaching mode and classroom teaching in the network environment, some ideas and measures are proposed on how to strengthen and improve the organization and management of teaching in the network environment, and for the effective integration of teaching elements and resources. This paper proposes a teaching evaluation model based on a weighted plain Bayesian algorithm. According to the degree of influence of different attributes on the evaluation results, a method is proposed to determine the weights of each evaluation attribute using the correlation probabilities of class attributes and set the corresponding weights for each evaluation index. The experiment demonstrates that the accuracy of using the weighted plain Bayesian algorithm to construct the model for classification can reach 75%, and the average accuracy can be improved by about 3% compared with the traditional Bayesian classification algorithm. © 2022 Sha Zhou and BaoXin Long.

Keywords

Author Keywords

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Index Keywords

E-learning Deep learning organization and management Classroom teaching Teaching modes Teaching evaluation Model-based OPC Evaluation models Teaching applications Online environments Bayesian algorithms Network environments
Author Affiliations
Department of Education, Shaanxi Normal University, Xi'an, Shaanxi, China
Funding & Acknowledgements
No funding information
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