Abstract: The rapid development of artificial intelligence (AI) technology presents both unprecedented opportunities and challenges for graduate education, while simultaneously revealing limitations in traditional training approaches. This study addresses three critical issues in chemistry graduate education: the disconnect between AI applications and disciplinary knowledge, outdated evaluation systems, and academic integrity risks. We propose an innovative “four-in-one” training model comprising: (1) an integrated curriculum system that deeply embeds AI in specialized courses; (2) an optimized research workflow emphasizing human-machine collaboration throughout the research process; (3) a competency-oriented, multi-dimensional evaluation mechanism; and (4) a supportive technical environment that balances capability enhancement with ethical regulation. This systematic reform framework aims to foster the coordinated development of research innovation capacity and academic literacy among chemistry graduate students, providing valuable insights for implementing “AI + Higher Education” initiatives in STEM disciplines.

Key words: AI empowerment, Training mode, Academic graduate student in chemistry, Multidimensional evaluation