Computational English Online Teaching Monitoring System Based on Deep Learning Algorithm

• Published in: Security and communication networks Vol. 2022; pp. 1 - 10
• Main Authors: Feng, Julin, Michalak, Wazid
• Format: Journal Article
• Language: English
• Published: London Hindawi 07.05.2022; John Wiley & Sons, Inc
• Subjects: Algorithms; Behavior; CAI; Cellular telephones; Classrooms; Computer assisted instruction; Deep learning; Educational technology; Efficiency; Emotions; Genetic algorithms; Machine learning; Methods; Monitoring; Monitoring systems; Neural networks; Online instruction; Physiology; Principal components analysis; Students; Target recognition; Truancy; Vision systems; China
• ISSN: 1939-0114; 1939-0122; 1939-0122
• DOI: 10.1155/2022/7145129

In order to improve the monitoring effect of English online teaching, this paper combines the deep learning algorithm to construct the English online teaching monitoring system and conduct real-time supervision of the English online teaching process. Furthermore, by altering the original DCGAN, this research seeks to apply the approach of constructing a deep convolutional adversarial network to tackle the issue of small-sample target recognition in a given scene and develop an appropriate learning model. According to the results of the experimental research, the English online teaching monitoring system proposed in this paper, which is based on the deep learning algorithm, can play an important role in online English teaching monitoring and effectively improve the efficiency of online English management.