Abstract

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.

Highlights

  • English is compulsory for education around the globe and a mandatory course in most universities

  • This paper analyzes the English network teaching system constructed in this paper. e innovation of this system lies in the collection and processing of network data through WBIETS, which enables the teaching system constructed in this paper to be used as English teaching

  • In order to study the system that can be used for English network intelligent teaching, this paper combines artificial intelligence and the WBIETS system to construct an English network teaching system. e data layer, logic layer, and presentation layer in the system constructed in this paper are all independent of each other, so the system can be effectively expanded when subsequent requirements change

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Summary

Introduction

English is compulsory for education around the globe and a mandatory course in most universities. In the past two years, due to COVID-19, most of the on-site English teaching has transformed to online teaching, but traditional online teaching faces certain challenges that hinder its widespread adoption. Based on these challenges and shortcomings, this paper analyzes the traditional English network teaching system and combines artificial intelligence technology and the WBIETS system to construct an English network teaching system. (2) useful user action patterns are applied to website structure adjustment and page push services.

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