Research on English Teaching System Based on Artificial Intelligence and WBIETS Wireless Network System
The English teaching network system is a distant teaching based on Web. This teaching method can stimulate students' interests, so that students can acquire knowledge voluntarily, and automatic test paper generation is one of the most important modules in English teaching network system. This paper first describes the automatic test problems, is a constrained multi-objective problem; then the design of genetic algorithm to improve the test paper, put forward questions based encoding method and based on the difficulty and test points of F fitness function for dynamic adjustment of the parameters in the iterative process. Finally, it is verified by experiments that the test paper made by this method satisfies users' requests for questions, contents and scores, and at the same time, it also improves the running efficiency of random optimization algorithm by 7-17 times.
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Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.
Posted 27 May, 2020
On 26 Jun, 2020
On 08 Jun, 2020
On 02 Jun, 2020
Received 02 Jun, 2020
Received 01 Jun, 2020
Received 30 May, 2020
On 29 May, 2020
Invitations sent on 28 May, 2020
On 28 May, 2020
On 18 May, 2020
On 17 May, 2020
On 17 May, 2020
On 08 May, 2020
Received 05 May, 2020
Received 02 May, 2020
On 30 Apr, 2020
Received 28 Apr, 2020
Invitations sent on 21 Apr, 2020
On 21 Apr, 2020
On 21 Apr, 2020
On 13 Apr, 2020
On 12 Apr, 2020
On 26 Mar, 2020
On 19 Mar, 2020
Research on English Teaching System Based on Artificial Intelligence and WBIETS Wireless Network System
Posted 27 May, 2020
On 26 Jun, 2020
On 08 Jun, 2020
On 02 Jun, 2020
Received 02 Jun, 2020
Received 01 Jun, 2020
Received 30 May, 2020
On 29 May, 2020
Invitations sent on 28 May, 2020
On 28 May, 2020
On 18 May, 2020
On 17 May, 2020
On 17 May, 2020
On 08 May, 2020
Received 05 May, 2020
Received 02 May, 2020
On 30 Apr, 2020
Received 28 Apr, 2020
Invitations sent on 21 Apr, 2020
On 21 Apr, 2020
On 21 Apr, 2020
On 13 Apr, 2020
On 12 Apr, 2020
On 26 Mar, 2020
On 19 Mar, 2020
The English teaching network system is a distant teaching based on Web. This teaching method can stimulate students' interests, so that students can acquire knowledge voluntarily, and automatic test paper generation is one of the most important modules in English teaching network system. This paper first describes the automatic test problems, is a constrained multi-objective problem; then the design of genetic algorithm to improve the test paper, put forward questions based encoding method and based on the difficulty and test points of F fitness function for dynamic adjustment of the parameters in the iterative process. Finally, it is verified by experiments that the test paper made by this method satisfies users' requests for questions, contents and scores, and at the same time, it also improves the running efficiency of random optimization algorithm by 7-17 times.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.