Design and Application of Intelligent Classroom for English Language and Literature Based on Artificial Intelligence Technology

Figures & data

Figure 1. Schematic diagram of pedagogical innovations in english language and literature.

Figure 2. Framework of the smart classroom model.

Figure 3. Model architecture.

Table 1. Parameter settings in the experiment.

Parameter Name	Parameter Value
Batch Size	32
Generator embedding dimension	32
Number of attention heads	2
Discriminator embedding dimension	64
CNN window size	{2, 3, 4, 5}
CNN window feature mapping	{300, 300, 300, 300)
LSTM hidden layer size	64
Number of categories k	2

Figure 4. Experimental results of the model on the MR dataset.

Figure 5. Experimental results of the model on the AR dataset.

Figure 6. Experimental results of model ablation on MR dataset.

Figure 7. Experimental results of model ablation on AR dataset.

Table 2. Results of the parametric analysis of the model on the MR dataset.

λ	BLEU-2	BLEU-3	BLEU-4	BLEU-5
0.1	0.651	0.334	0.197	0.146
0.01	0.644	0.338	0.197	0.146
0.001	0.639	0.342	0.203	0.151
0.000 1	0.669	0.362	0.208	0.152

Table 3. Parametric analysis results of the model on the AR dataset.

λ	BLEU-2	BLEU-3	BLEU-4	BLEU-5
0.1	0.990	0.952	0.873	0.758
0.01	0.991	0.952	0.873	0.752
0.001	0.992	0.955	0.882	0.770
0.000 1	0.991	0.960	0.892	0.786

Data Availability statement

Data will be provided upon request to the corresponding authors.