Design of Intelligent Assistant System for English Teaching Based on Artificial Intelligence

Authors

  • Gongwei Dai Liaoning Petrochemical University, Fushun 113001, Liaoning, China

Abstract

Driven by the wave of globalization, the importance of English as a facilitator of international communication is becoming more and more pronounced. Traditional English teaching is facing challenges such as the lack of teachers and uneven distribution of resources. Hence, there is an urgent need for innovative solutions. In this study, we develop an English teaching aid system based on artificial intelligence, with the aim of improving the quality of teaching and learners’ motivation. This study was carried out using a multi-dimensional approach comprising a literature review, requirement analysis, system design and prototype testing. First, the literature review revealed the core challenges of English teaching and the current status of AI application
in education. Then, the requirement analysis clarified the key requirements for system design. On this basis, we constructed a system architecture and developed a prototype system. In particular, in terms of teaching assistance, this system uses natural language processing technology and machine learning algorithms to achieve intelligent adaptation and personalized recommendation of course content to adapt to the needs of different learners. The results of the study show that the assistance system significantly improves the efficiency of English teaching and the learning outcomes of learners. The system dynamically adjusts teaching strategies and optimizes learning paths according to learners’ progress and feedback. Meanwhile, the system
provides teachers with learning data analysis, which enhances their understanding and responsiveness to learners’ needs.

Keywords: artificial intelligence, English language teaching, intelligent assistance system

Cite As

G. Dai, "Design of Intelligent Assistant System for English Teaching Based on Artificial Intelligence",
Engineering Intelligent Systems, vol. 32 no. 6, pp. 635-645, 2024.




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Published

2024-11-01

Issue

Vol. 32 No. 6 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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