The Role and Impact of Artificial Intelligence in Personalized English Teaching Evaluation

Abstract

The widespread application of artificial intelligence (AI) in English teaching evaluation has drawn extensive attention due to its advantages which AI can boost evaluation efficiency and offer personalized feedback. However, some deficiencies still exist, standing for technical function limitations, potential negative impacts on the teaching process, and constraints on implementation conditions. This study concentrates on the application of AI in English teaching evaluation to analyze its technical function shortcomings, potential negative impacts on the teaching process, and capability constraints during implementation. The study finds that AI can enhance evaluation accuracy via multi-dimensional data integration, diversified corpus expansion, and an AI-human hybrid model. Besides, AI application capabilities of teachers can be improved through hierarchical training and continuous learning mechanisms. Based on these findings, the study proposes improvement strategies from technical optimization and teacher training aspects for promoting the in-depth integration of AI and English teaching, advancing educational equity, and improving teaching quality.