Abstract: Generative AI, with its remarkable capabilities in natural language processing and knowledge generation, is profoundly influencing educational reform. This paper explores the application of generative AI in analytical chemistry education, examining its multiple roles within the teaching process. It provides a detailed exploration of intelligent lesson planning, the design of personalized learning paths for students, and the analysis of exam results, all aimed at enhancing the learning experience and teaching efficiency for both students and instructors. This study offers new insights into the modernization of teaching methods. Additionally, the paper objectively assesses the challenges associated with AI integration in education and suggests strategies to address these challenges, providing valuable guidance for the deeper application of generative AI in analytical chemistry and other educational fields..

Key words: Generative AI, Analytical chemistry, Intelligent lesson preparation, Personalized learning path design, Exam result analysis