Abstract: Against the backdrop of a new generation of artificial intelligence permeating higher education,China’s graduate education is moving from “scale expansion” toward an “intelligent ecosystem”.Drawing on interim findings from the National Education Sciences Planning Project Graduate Education Models and Organizational Forms in the Age of Artificial Intelligence,this study advances the 3L-S³intelligent education model－an integrated framework of Learning-Lab-Launch(3L) and Smart Campus-Smart Governance-Smart Ethics(S³)－and explores how AI reshapes curricula,research training,organizational structures,and digital governance.A mixed methods design is adopted,combining grounded theory,a large scale survey of 1 862 respondents from the Graduate School of Central South University,an eight nation comparative analysis,and in depth case studies.The model’seffectiveness is further validated with three years of longitudinal data.The results indicate that:1)AI driven competence profiling increases personalized learning gains by 23.6%;2)A digital twin Meta-Lab shortens research cycles by 31.4%;3)Flattened,networked organizational forms have become this key carriers for talent-technology-governance synergy;4)Blockchain-AI collaborative governance raises the accuracy of academic misconduct early warning to 92%.In response,this paper proposes three policy pathways:1)Establishing a National AI Research and Education Center;2)Piloting interdisciplinary conversion master’s programs;3)Creating a Trusted AI Curriculum Consortium.Together,these contributions offer a replicable and assessable new paradigm for driving high quality advancement in China’s graduate education and for modernizing educational governance.

Key words: AI-driven personalized learning, Intelligent transformation of graduate education, Smart campus and digital gover-nance, AI ethics and compliance, 3L-S³ intelligent education model