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Optimizing Artificial Intelligence Tools for English Grammar Teaching: A Multidimensional Approach

Author(s)

Huang Kui, Chen Minrong, Wu Caixia, Cao Xue*

Affiliation(s)

Guangdong University of Science and Technology, Guangdong, China *corresponding author

Abstract

This study aims to explore the multidimensional factors that affect the effectiveness of artificial intelligence (AI) tools in college students’ English grammar learning. It provides a comprehensive analysis of how individual differences, tool design, instructional integration, and contextual environment impact learning outcomes. Through a systematic review and comparison of relevant domestic and international literature, the study finds that learners’ learning styles, the adaptivity of AI tools, and the quality of integration between teaching and technology are key factors influencing tool effectiveness. Based on these analyses, this study proposes optimization pathways for the application of AI tools, including improving tool design, strengthening teacher training, and enhancing cross-cultural adaptability, with the aim of providing theoretical support and directions for future practice in AI-assisted grammar teaching.

Keywords

Artificial Intelligence; English Grammar Instruction; College English; Motivation to Learn; Technology Acceptance; Optimization Approach

References

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