AI enables a new ecosystem for high-quality development of postgraduate education
Hua Baoyu

Graduate School of Southwest Jiaotong University，Sichuan Chengdu，610000；

Abstract: Against the backdrop of deep integration between the digital economy and educational digitalization strategies, AI technology has emerged as the core driving force for transforming graduate education from "scale expansion" to "quality enhancement". Based on policy orientations such as the 2024 "Degree Law" and the "Digital Action Plan for Graduate Education (2024-2026)", this paper systematically analyzes pathways and mechanisms for AI-enabled high-quality development in graduate education through six dimensions: restructuring the entire training process, innovating curricula and teaching materials, empowering research innovation, optimizing evaluation systems, addressing challenges, and future trends. The study demonstrates that AI technology effectively resolves practical issues in graduate education—including resource imbalances, homogenized training, and low research efficiency—by establishing closed-loop quality management systems, achieving "integration of curriculum, teaching materials, and research", enhancing research innovation efficiency, and promoting educational equity. Simultaneously, it highlights the need to strengthen data security management, standardize academic ethics, and improve faculty digital literacy to build a balanced educational ecosystem that equally emphasizes technological empowerment and humanistic care. Looking ahead, the integration of AI and graduate education will evolve into "ecological restructuring", forming a new paradigm of personalized, intelligent, and lifelong education to support the cultivation of high-level innovative talents.

Keywords: AI empowerment; postgraduate education; high-quality development; digital transformation; education ecosystem

References

[1] Graduate School of Tsinghua University. Practice of Building a Pre-Graduate Learning System for Cross-Disciplinary Graduate Students [J]. Higher Education Research, 2023,44(5):67-73.

[2] CCTV.com.AI computing power drives Fudan University's scientific breakthrough [EB/OL].(2025-07-28)[2025-11-02].https://5gai.cctv.com/2025/07/28/ARTIYZ51IGAduZvsQMg8FAGN250728.shtml.

[3] Graduate School of Zhejiang University. Practice of Dynamic Monitoring and Intervention Mechanism for Graduate Education Quality [J]. China Higher Education, 2023, (12):34-37.

[4] Graduate School of University of Science and Technology of China. Quantum Information Science: Research Feedback to Teaching Practice [J]. Higher Science Education, 2023, (4):89-95.

[5] School of Mechanical and Power Engineering, Shanghai Jiao Tong University. Construction and Application of AI Simulation Experiment Platform [J]. Experimental Technology and Management, 2023,40(6):156-161.

[6] School of Sociology, Wuhan University. Application of AI Social Research Platform in Graduate Education [J]. Social Sciences Frontiers, 2023, (7):268-275.

[7] Graduate School of Sun Yat-sen University. Development and Application of a Comprehensive Assessment Platform for Graduate Students [J]. Degree and Graduate Education, 2023, (8):23-29.

[8] Graduate School of Shandong University. Application Practice of Assistive Tools for Graduate Education of Students with Disabilities [J]. China Special Education, 2023, (9):36-41.