Open Access

Selection and Optimization of University English Teaching Path Based on Knowledge Distillation and Transfer Learning

  
Mar 17, 2025

Cite
Download Cover

Figure 1.

Structure of dense convolutional neural network
Structure of dense convolutional neural network

Figure 2.

Structure diagram of ANN
Structure diagram of ANN

Figure 3.

Schematic diagram of knowledge distillation
Schematic diagram of knowledge distillation

Figure 4.

Flow chart for selecting and optimizing college English teaching paths
Flow chart for selecting and optimizing college English teaching paths

Single sample T test results

Test value=1.72
t Degree of freedom Sig.(two-tailed) Mean difference 95% confidence interval for the difference
Lower limit Upper limit
Inter group -0.204 145 0.857 -0.016 -0.17 0.12

The personal information of the experimental subjects

Background information Experimental class Control class
Number Percentage Number Percentage
Gender Male 34 36.96% 20 37.04%
Female 58 63.04% 34 62.96%
Nationality The Han Nationality 75 81.52% 43 79.63%
Minority Nationality 17 18.48% 11 20.37%
Place of student source The north 91 98.91% 54 100.00%
The south 1 1.09% 0 0.00%
College entrance examination results 50-89 points 70 76.09% 42 77.78%
90-150 points 22 23.91% 12 22.22%

Statistical analysis of paired samples before and after testing

D1 D2 D3 D4 Total Number Standard deviation Standard error
Pretest Experimental class 65.12 71.09 56.89 74.53 66.91 92 9.423 1.476
Control class 63.64 69.24 58.13 73.96 66.24 54 8.205 1.215
Posttest Experimental class 78.57 86.35 71.37 86.52 80.70 92 7.341 1.027
Control class 70.21 76.42 62.44 80.11 72.30 54 8.256 1.234

Paired sample T-test for pretest and posttest

Paired difference t Sig.(2-tailed)
Mean Std. deviation Std. error mean
Experimental class D1 Pretest and posttest -13.45 1.421 0.241 3.147 0.000
D2 Pretest and posttest -15.26 1.714 0.197 4.274 0.000
D3 Pretest and posttest -14.48 2.047 0.259 -2.716 0.000
D4 Pretest and posttest -11.99 1.892 0.264 -4.207 0.000
Control class D1 Pretest and posttest -6.57 4.125 0.755 4.815 0.085
D2 Pretest and posttest -7.18 5.264 0.761 -5.143 0.073
D3 Pretest and posttest -4.31 3.973 0.804 -3.459 0.104
D4 Pretest and posttest -6.15 4.677 0.825 -4.531 0.096

Independent sample T-test for pretest and posttest

Dimension Levin’s test for equality of variances T-test
Assuming F Sig. t Sig.(2-tailed) 95% confidence interval of the difference
Lower limit Upper limit
Pretest D1 Equal variances 3.315 0.081 0.145 0.715 -3.527 4.024
D2 Equal variances 4.232 0.079 0.156 0.637 -4.135 3.859
D3 Equal variances 2.964 0.093 0.189 0.741 -2.958 3.421
D4 Equal variances 3.109 0.105 0.195 0.822 -3.763 4.325
Posttest D1 Equal variances 2.942 0.089 2.943 0.007 -6.942 -2.354
D2 Equal variances 3.857 0.094 3.127 0.000 -7.257 -2.678
D3 Equal variances 2.645 0.132 3.481 0.003 -8.104 -2.593
D4 Equal variances 3.054 0.103 2.894 0.018 -7.109 -1.742

Difference test of background variables between experimental class and control class

Sum of squares Degree of freedom Mean square F Significance
Gender Inter group 0.067 1 0.067 0.236 0.648
Within group 34.185 144 0.258
Total 34.264 145
Nationality Inter group 0.253 1 0.239 1.305 0.272
Within group 25.144 144 0.181
Total 25.316 145
Place of student source Inter group 0.008 1 0.008 0.042 0.841
Within group 28.641 144 0.214
Total 28.657 145
College entrance examination results Inter group 0.152 1 0.152 0.224 0.654
Within group 91.246 144 0.694
Total 91.383 145
Language:
English