Research on English Writing Teaching Strategies for College Students with the Assistance of Artificial Intelligence
29 wrz 2025
O artykule
Data publikacji: 29 wrz 2025
Otrzymano: 01 lut 2025
Przyjęty: 02 maj 2025
DOI: https://doi.org/10.2478/amns-2025-1091
Słowa kluczowe
© 2025 Liyun Xu, published by Sciendo.
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.
Figure 2.
Figure 3.
Experimental environment
| Environment and model | Parameter |
|---|---|
| Operating system | Windows 10 |
| GPSS | NVIDIA GeForce GTX 1070 Ti |
| Tensorflow version | Tensorflow-gpu 1. 12. 0 |
| Python version | Python3. 6 |
| memory | 8G |
| Network number | 6 |
| Word vector dimension | 256 |
| Learning rate | 1 |
Independent sample T test
| - | - | Levene test of variance equation | T test of mean equation | 95% confidence interval of difference | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| F | Sig. | t | df | Sig. (bilateral) | Mean difference | standard deviarian | lower limit | upper limit | ||
| Content expression | Suppose the variance is equal. | 0.463 | 0.488 | 11.972 | 77 | 0.000 | 2.514 | 0.212 | 2.112 | 2.942 |
| Suppose the variance is not equal. | - | - | 11.986 | 76.72 | 0.000 | 2.514 | 0.211 | 2.113 | 2.942 | |
| Organizational structure | Suppose the variance is equal. | 0.346 | 0.548 | 6.648 | 77 | 0.000 | 1.012 | 0.152 | 0.705 | 1.305 |
| Suppose the variance is not equal. | - | - | 6.642 | 76.302 | 0.000 | 1.012 | 0.152 | 0.705 | 1.305 | |
| Vocabulary use | Suppose the variance is equal. | 3.262 | 0.068 | 7.989 | 77 | 0.000 | 1.027 | 0.14 | 0.77 | 1.296 |
| Suppose the variance is not equal. | - | - | 8.013 | 73.789 | 0.000 | 1.027 | 0.14 | 0.77 | 1.296 | |
| The use of grammar | Suppose the variance is equal. | 1.098 | 0.297 | 5.88 | 77 | 0.000 | 1.08 | 0.183 | 0.709 | 1.433 |
| Suppose the variance is not equal. | - | - | 5.894 | 75.244 | 0.000 | 1.08 | 0.183 | 0.709 | 1.432 | |
| Normative writing | Suppose the variance is equal. | 3.588 | 0.065 | 3.585 | 77 | 0.001 | 0.424 | 0.122 | 0.195 | 0.676 |
| Suppose the variance is not equal. | - | - | 3.592 | 75.82 | 0.001 | 0.424 | 0.122 | 0.195 | 0.676 | |
Error correction effect of English text
| Model | P | R | F0.5 |
|---|---|---|---|
| Sep2Sep model based on RNN | 39.84 | 30.01 | 37.59 |
| Sep2Sep model based on LSTM | 48.96 | 34.02 | 42.42 |
| Nested attentional neural model | 54.88 | 25.23 | 45.76 |
| Deep Context Model | 53.77 | 21.32 | 43.21 |
| The Sep2Sep model based on CNN | 61.17 | 33.29 | 51.53 |
| Grammar automatic error correction model | 66.84 | 35.11 | 56.34 |
Comparison of prediction performance of the model
| Model | CoNLL-2014(test) | JFLEG | ||
|---|---|---|---|---|
| P(%) | R(%) | F0.5(%) | GLEU(%) | |
| BERT-fuse Mask | 57.9 | 15.36 | 37.16 | 52.2 |
| BERT-fuse GED | 58.29 | 15.93 | 38.1 | 53.51 |
| BERT(None) | 61.61 | 16.36 | 39.52 | 55.67 |
| RoBERTa(None) | 62.91 | 19.54 | 43.5 | 57.87 |
| BERT+SMT+Bi-GRU | 60.2 | 20.12 | 42.96 | 58.37 |
| Model of this article | 62.2 | 20.68 | 44.32 | 58.49 |
English writing proficiency
| Dimension | Class | N | Mean | Standard deviation |
|---|---|---|---|---|
| Content expression | Experimental class | 40 | 25.85 | 0.954 |
| Control class | 40 | 23.32 | 0.915 | |
| Organizational structure | Experimental class | 40 | 18.19 | 0.755 |
| Control class | 40 | 17.28 | 0.668 | |
| Vocabulary use | Experimental class | 40 | 18.51 | 0.595 |
| Control class | 40 | 17.6 | 0.621 | |
| The use of grammar | Experimental class | 40 | 21.82 | 0.792 |
| Control class | 40 | 20.64 | 0.947 | |
| Normative writing | Experimental class | 40 | 4.46 | 0.528 |
| Control class | 40 | 3.94 | 0.597 |