Abstract

To improve the English proficiency of college students, this paper attempts to promote autonomous English learning among these students using artificial intel-ligence technology. Specifically, the principles, features and application fields of artificial intelligence were introduced in details, and the requirements, structure, database and processes of autonomous English learning systems were discussed at length. On this basis, the backpropagation (BP) neural network, a typical artifi-cial intelligence technique, was selected to design the modules of the autonomous English learning system for college students. The proposed system was then im-plemented in integrated open environment of Visual Studio, the architecture of the browser/server system and the SQL Server database on the Windows platform. The results show that the proposed system provides college students with intelli-gent and open self-evaluation tests and effective learning feedbacks. The research findings shed new light on improving the English learning of college students and reliving the pressure on college English teachers.

Highlights

  • In the information era, knowledge dissemination and teaching methods and teaching environment are undergoing unprecedented changes

  • The traditional college English teaching model needs to be reformed by integrating computer technology and artificial intelligence technology so as to improve students’ learning interest and alleviate teachers’ teaching pressure [2]

  • This paper focuses on the application of artificial intelligence in college students’ autonomous learning [4]

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Summary

Introduction

Knowledge dissemination and teaching methods and teaching environment are undergoing unprecedented changes. Of the most advanced information technologies in the world [3], artificial intelligence technology has made many breakthroughs in a number of fields like speech recognition, automation control, corporate management and teaching system Under this background, this paper focuses on the application of artificial intelligence in college students’ autonomous learning [4]. Through detailed analysis of system requirements, overall structure, database requirements and system flows, this paper specifies the functional module settings and each component of the system [6] It displays the interfaces of the artificial-intelligence-based English autonomous learning system, showing that the system provides students with multiple functions like self-diagnosis, online learning and historical exercise. This system has a positive effect in improving the English level of college students and at the same time opens up a new way for the application of artificial intelligence in English teaching

Overview of artificial intelligence
Artificial neural network model
Overall system design
System functional structure analysis
System database design
System processing flow analysis
Findings
Conclusion
Full Text
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