Accès libre

The Design of Intelligent Q&A System for English Education Based on Artificial Intelligence Technology and the Cultivation of Students’ Autonomous Learning Ability

 et   
21 mars 2025
À propos de cet article

Citez
Télécharger la couverture

Figure 1.

System overall function module diagram
System overall function module diagram

Figure 2.

My problem flow chart
My problem flow chart

Figure 3.

Flowchart for the answer
Flowchart for the answer

Figure 4.

Q&A list flowchart
Q&A list flowchart

Figure 5.

Automatic answer flow chart
Automatic answer flow chart

Figure 6.

Questions model state transfer
Questions model state transfer

Figure 7.

Questions model state transfer
Questions model state transfer

Figure 8.

Optimal path
Optimal path

Figure 9.

Study length of the experimental class and the comparison class
Study length of the experimental class and the comparison class

Figure 10.

Question number comparison diagram
Question number comparison diagram

Analysis of course test results

Courses Laboratory class Cross-reference class T P
Mean variance Mean variance
Course 1 14.35 3.08 13.15 4.48 2.068 .044*
Course 2 15.28 2.64 14.48 3.85 1.796 0.075
Course 3 14.37 3.65 12.69 4.49 2.094 .038*
Course 4 14.89 2.87 14.82 2.31 -0.038 0.92
Course 5 12.26 4.83 12.12 4.77 0.106 0.916

Observed probability matrix

Observation value probability matrix 1 2 3 4 5 6 7
A 0.06 0.21 0.26 0.17 0.14 0.16 0
B 0.11 0.12 0.23 0.22 0.32 0 0
C 0.11 0.16 0.13 0.22 0.17 0.21 0
D 0.03 0.04 0.09 0.11 0.15 0.21 0.37

Check rate test

Student Question number Number of correct answers Accuracy ratio Check rate Question style
101 35 32 91.43% 100% Natural language
102 24 23 95.83% 100% Natural language
103 29 28 96.55% 100% Natural language
104 28 26 92.86% 100% Natural language
105 27 25 92.59% 100% Natural language

State transfer probability matrix

State transfer matrix A B C D
A 0.16 0.19 0.06 0.59
B 0.17 0.17 0.04 0.62
C 0.06 0.08 0.21 0.65
D 0.08 0.21 0.12 0.59

Question prediction

Student Question number Accurately predict the number of questions ACC
101 35 32 91.43%
102 37 34 91.89%
103 29 28 96.55%
104 32 32 100.00%
105 35 33 94.29%