An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System

The traditional English teaching system has certain problems in the acquisition of teaching resources and the innovation of teaching models. In order to improve the effect of subsequent English online teaching, this paper improves the machine learning algorithm to make it a core algorithm that can b...

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Vydáno v:Scientific programming Ročník 2021; s. 1 - 9
Hlavní autor: Du, Haibao
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Hindawi 2021
John Wiley & Sons, Inc
Témata:
Algorithms
Artificial intelligence
CAI
Computer assisted instruction
Core making machines
Curricula
Distance learning
Education
Internet
Knowledge management
Machine learning
Natural language processing
Neural networks
Online instruction
R&D
Research & development
Semantics
Students
Teaching
Web sites
ISSN:1058-9244, 1875-919X
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Shrnutí:The traditional English teaching system has certain problems in the acquisition of teaching resources and the innovation of teaching models. In order to improve the effect of subsequent English online teaching, this paper improves the machine learning algorithm to make it a core algorithm that can be used by artificial intelligence systems. Moreover, this paper combines the WBIETS system to expand the system function, analyzes the needs of the English network teaching system, and constructs the system function modules and logical structure. The data layer, logic layer, and presentation layer in the system constructed in this paper are independent of each other and can be effectively expanded when subsequent requirements change. In addition, this paper solves the problem of acquiring English teaching resources through the WBIETS system. To evaluate the performance of the English network teaching system, this paper performs comprehensive mathematical and experimental analysis. The experimental results show that the system constructed in this paper basically meets the actual teaching requirements.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1058-9244
1875-919X
DOI:10.1155/2021/8783899