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A Study on Teaching Quality Improvement of Microcontroller Principles and Applications Course Based on Convolutional Neural Networks

Xiaodan Guan

Xiaodan Guan

School of Electronic and Control Engineering, North China Institute of Aerospace EngineeringLangfang, China
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Guan, Xiaodan
, 
Zongrui Li

Zongrui Li

School of Electronic and Control Engineering, North China Institute of Aerospace EngineeringLangfang, China
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Li, Zongrui
 e 
Jianfeng Xue

Jianfeng Xue

School of Electronic and Control Engineering, North China Institute of Aerospace EngineeringLangfang, China
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Xue, Jianfeng
  
19 mar 2025
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Pubblicato online: 19 mar 2025
Ricevuto: 18 ott 2024
Accettato: 03 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0387
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© 2025 Xiaodan Guan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

VGG16 network structure
VGG16 network structure

Figure 2.

Basic structure of attention mechanism
Basic structure of attention mechanism

Figure 3.

The double flow convolution neural network with the attention mechanism
The double flow convolution neural network with the attention mechanism

Figure 4.

Test result of student head lifting rate
Test result of student head lifting rate

Class emotional activity level at the beginning of the semester

Time 5min 20min 35min
Teacher face expression activity 0.5655 0.6149 0.3895
Student 1 Positive expression activity 0.3304 0.5775 0.3558
Negative expression activity 0.6696 0.4225 0.6442
Student 2 Positive expression activity 0.4365 0.3425 0.3379
Negative expression activity 0.5635 0.6575 0.6621
Student 3 Positive expression activity 0.5606 0.4459 0.4725
Negative expression activity 0.4394 0.5541 0.5275
Student 4 Positive expression activity 0.4122 0.4998 0.4186
Negative expression activity 0.5878 0.5002 0.5814
Student 5 Positive expression activity 0.4634 0.3548 0.5872
Negative expression activity 0.5366 0.6452 0.4128
Class emotional activity level 0.4754 0.4366 0.4895
Teaching effect evaluation Average Average Average

Pre-test and post-test results of experimental group

Dimension Pre/post-test N M SD F P
Normative execution Pre-test 49 14.06 1.45 5.984 0.001
Post-test 49 19.44 2.84
System design Pre-test 49 14.13 1.84 6.748 0.003
Post-test 49 18.25 2.23
System simulation Pre-test 49 13.58 2.05 7.162 0.002
Post-test 49 18.56 2.69
Hardware extension Pre-test 49 13.98 1.85 6.485 0.001
Post-test 49 19.37 2.72
Experiment analysis Pre-test 49 13.53 2.01 9.054 0.000
Post-test 49 19.32 2.06

Pre-test results of experimental and control group

Dimension Group N M SD F P
Normative execution EC 49 14.06 1.45 4.985 0.546
CC 50 13.88 1.69
System design EC 49 14.13 1.84 3.749 0.715
CC 50 13.82 1.99
System simulation EC 49 13.58 2.05 5.613 0.826
CC 50 14.67 2.03
Hardware extension EC 49 13.98 1.85 5.068 0.668
CC 50 13.94 1.87
Experiment analysis EC 49 13.53 2.01 4.946 0.729
CC 50 12.98 2.15

Post-test results of experimental and control group

Dimension Group N M SD F P
Normative execution EC 49 19.44 2.84 5.954 0.001
CC 50 14.95 1.89
System design EC 49 18.25 2.23 6.485 0.001
CC 50 13.88 1.65
System simulation EC 49 18.56 2.69 7.065 0.002
CC 50 14.69 2.34
Hardware extension EC 49 19.37 2.72 5.994 0.001
CC 50 14.06 1.94
Experiment analysis EC 49 19.32 2.06 8.049 0.000
CC 50 13.08 2.01

Class emotional activity level in the end of the semester

Time 5min 20min 35min
Teacher face expression activity 0.7084 0.6538 0.6984
Student 1 Positive expression activity 0.7705 0.6679 0.6271
Negative expression activity 0.2295 0.3321 0.3729
Student 2 Positive expression activity 0.7588 0.6563 0.6704
Negative expression activity 0.2412 0.3437 0.3296
Student 3 Positive expression activity 0.6765 0.5586 0.5584
Negative expression activity 0.3235 0.4414 0.4416
Student 4 Positive expression activity 0.5372 0.6611 0.6712
Negative expression activity 0.4628 0.3389 0.3288
Student 5 Positive expression activity 0.7332 0.6408 0.5959
Negative expression activity 0.2668 0.3592 0.4041
Class emotional activity level 0.7004 0.7462 0.7101
Teaching effect evaluation Excellent Excellent Excellent

Class emotional activity level in the middle of the semester

Time 5min 20min 35min
Teacher face expression activity 0.6641 0.5538 0.6284
Student 1 Positive expression activity 0.5805 0.5679 0.5271
Negative expression activity 0.4195 0.4321 0.4729
Student 2 Positive expression activity 0.5581 0.4563 0.5704
Negative expression activity 0.4419 0.5437 0.4296
Student 3 Positive expression activity 0.5479 0.5586 0.5584
Negative expression activity 0.4521 0.4414 0.4416
Student 4 Positive expression activity 0.5502 0.6611 0.6112
Negative expression activity 0.4498 0.3389 0.3888
Student 5 Positive expression activity 0.4886 0.6408 0.5059
Negative expression activity 0.5114 0.3592 0.4941
Class emotional activity level 0.6853 0.6462 0.6401
Teaching effect evaluation Good Good Good

Pre-test and post-test results of control group

Dimension Pre/post-test N M SD F P
Normative execution Pre-test 50 13.88 1.69 3.154 0.898
Post-test 50 14.95 1.89
System design Pre-test 50 13.82 1.99 4.068 0.758
Post-test 50 13.88 1.65
System simulation Pre-test 50 14.67 2.03 5.068 0.692
Post-test 50 14.69 2.34
Hardware extension Pre-test 50 13.94 1.87 4.698 0.882
Post-test 50 14.06 1.94
Experiment analysis Pre-test 50 13.08 2.01 2.946 0.943
Post-test 50 13.08 2.01
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Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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