This study examines the integration of Artificial Intelligence (AI) technology in high school English reading instruction, analyzing its advantages over traditional teaching methods. A midst the test-oriented education system, high school English reading instruction encounters numerous challenges, including a narrow reading scope for students and a lack of diversity in teaching approaches by educators. The incorporation of AI, particularly Natural Language Processing (NLP), enables in-depth analysis of English reading comprehension and enhances teaching efficiency and student motivation through personalized recommendations, intelligent tutoring, and assessment. AI technology offers tailored learning paths based on specific student needs, achieving personalized instruction, and improves the accuracy and efficiency of assessment through intelligent evaluation and feedback mechanisms. Furthermore, AI enriches teaching resources and interaction modes, increasing student interest and engagement. The study posits that the application of AI technology in high school English reading instruction has broad prospects and is expected to significantly improve educational quality and talent cultivation.
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