This study aims to explore the construction of an English teaching evaluation system based on artificial intelligence and its application effect. By designing a questionnaire survey and employing various data analysis methods, including Pearson correlation coefficient and Spear man rank correlation coefficient, the paper examines the relationship between learners’ frequency of using AI English learning platform functions and their satisfaction, the background of using teaching tools, and their views on the teaching evaluation system. The results indicate that younger learners use the AI learning platform more frequently. High satisfaction with personalized learning plans and real-time feedback features is positively correlated with increased learner engagement. Integrating AI tools into classroom teaching can significantly enhance learning efficiency. The study underscores the critical role of personalized instruction and immediate feedback in improving teaching quality and learning outcomes, providing valuable insights for the future deep application of AI in education.