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A Study of English Teachers’ Classroom Teaching Behavior Based on Deep Learning

Yaya Tian

Yaya Tian

School of Humanities, Shangluo UniversityShangluo, China
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Tian, Yaya
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Hailong Zhang

Hailong Zhang

School of Urban and Rural Planning and Architectural Engineering, Shangluo UniversityShangluo, China
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Zhang, Hailong
  
Mar 19, 2025
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Published Online: Mar 19, 2025
Received: Oct 17, 2024
Accepted: Feb 02, 2025
DOI: https://doi.org/10.2478/amns-2025-0437
Keywords
© 2025 Yaya Tian et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Classroom teaching video data acquisition process
Classroom teaching video data acquisition process

Figure 2.

The classroom teachers target real-time detection network structure
The classroom teachers target real-time detection network structure

Figure 3.

The flowchart of the classroom teacher target tracking algorithm
The flowchart of the classroom teacher target tracking algorithm

Figure 4.

Common skeleton model
Common skeleton model

Figure 5.

The overall structure of the multi-flow atlas network
The overall structure of the multi-flow atlas network

Figure 6.

Classification accuracy and cross entropy loss curve on the training set
Classification accuracy and cross entropy loss curve on the training set

Figure 7.

Classification accuracy and cross entropy loss curve on the training set
Classification accuracy and cross entropy loss curve on the training set

Figure 8.

Validation set confusion matrix
Validation set confusion matrix

Figure 9.

The comparison of the model test results and the artificial labeling results
The comparison of the model test results and the artificial labeling results

Comparison of model recognition effect

Method Input size Accuracy rate/% Extraction posture
C3D 16*128*171 76.34 No
I3D 32*256*256 80.16 No
SlowOnly 8*256*256 53.25 No
R3D-34 48*112*112 80.63 No
R2plus1D-34 48*112*112 73.14 No
MS-AAGCN 48*56*56 85.49 Yes
HRNet+MS-AAGCN+GAT(Ours) 48*56*56 87.61 Yes
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