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A deep learning-based method for improving the efficiency of integrating multimedia teaching resources in Civics and Political Science courses in universities, middle schools and elementary school

Tianzuo Wang

Tianzuo Wang

  • School of Marxism, Guangzhou College of Applied Science and TechnologyZhaoqing, China
  • Urban and Rural Culture Development Research Center, Guangzhou College of Applied Science and TechnologyZhaoqing, China
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Wang, Tianzuo
  
Mar 17, 2025
A deep learning-based method for improving the efficiency of integrating multimedia teaching resources in Civics and Political Science courses in universities, middle schools and elementary school's Cover Image
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Published Online: Mar 17, 2025
Received: Oct 29, 2024
Accepted: Feb 03, 2025
DOI: https://doi.org/10.2478/amns-2025-0336
Keywords
© 2025 Tianzuo Wang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Model structure
Model structure

Figure 2.

The crawling results of teaching resources
The crawling results of teaching resources

Figure 3.

SOAP resource interchange
SOAP resource interchange

Figure 4.

Teaching resource sharing module
Teaching resource sharing module

Figure 5.

The three methods of clustering at different times
The three methods of clustering at different times

Figure 6.

Algorithm clustering results
Algorithm clustering results

Figure 7.

Transmission delay comparison results
Transmission delay comparison results

Experimental parameter setting

Serial number Experimental parameter Parameter value
1 Number of network nodes 500
2 Data transmission rate 30Mbps
3 Memory 4.0GB
4 Hard disk capacity 60GB
5 Database MySQL

Sample input data

Index Data 1 Data 2 Data 3 Data 4 Data 5 Data 6
D1 0.50 1.00 1.50 2.00 2.50 3.00
D2 2.78 2.78 2.78 2.78 2.78 2.78
D3 2.64 2.64 2.64 2.64 2.64 2.64
D4 3.43 3.43 3.43 3.43 3.43 3.43
D5 2.71 2.71 2.71 2.71 2.71 2.71
D6 1.82 1.82 1.82 1.82 1.82 1.82
D7 2.58 2.58 2.58 2.58 2.58 2.58
D8 2.69 2.69 2.69 2.69 2.69 2.69
D9 1.86 1.86 1.86 1.86 1.86 1.86
D10 2.63 2.63 2.63 2.63 2.63 2.63
D11 2.74 2.74 2.74 2.74 2.74 2.74

Stress test results

Experimental serial number CPU usage(%) Memory occupancy rate(%) Number of clients Concurrent number Network bandwidth(Mbps)
1 50 60 45 200 150
2 65 75 75 300 120
3 70 70 60 450 150
4 60 65 55 500 120
5 85 85 65 250 120
6 55 75 75 550 120
7 60 80 70 400 150
8 65 65 85 250 150
9 75 80 100 300 120
10 80 75 95 400 150
Experimental serial number Network delay(ms) Packet loss(%) Resource size(MB) Mean response time(s) Throughput(MB/s)
1 15 0 105 1.1 120
2 10 0 100 1.3 113
3 15 0 105 1.8 107
4 20 0 95 2.4 101
5 15 1 100 2.6 94
6 30 0 200 1.8 103
7 25 0 150 1.9 105
8 45 2 225 2.3 99
9 30 1 173 2.2 101
10 225 0 168 2.7 87

The Shared results of three methods

Experimental frequency Resource utilization
Method 1 Method 2 Method 3
1 99.93 83.47 67.92
2 99.76 84.28 67.84
3 99.83 81.37 68.53
4 99.72 80.63 67.06
5 98.54 86.42 66.49
6 98.67 84.36 66.83
7 95.43 85.41 66.04
8 95.11 83.23 65.32
9 96.09 81.54 66.17
10 97.58 80.29 66.21
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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