Artificial intelligence (AI) provides an innovative direction for the development of postgraduate education in police colleges. This study investigates the integration of AI with postgraduate education in police colleges, analyzing its role in enhancing teaching quality. Specifically, AI facilitates the reconfiguration of policing pedagogy, AI promotes multidimensional synergy in practical competency development, and AI drives deep integration of “Police Colleges + Public Security Bureau” ecosystems. Based on these findings, the intrinsic mechanisms through which AI empowers postgraduate teaching quality are systematically elucidated. Furthermore, a comprehensive development pathway for the training mechanism is proposed, encompassing seven dimensions: upholding the concept of AI-driven teaching reform, leveraging AI for teaching resource development, building AI-enhanced teaching platforms, implementing AI-optimized policing curriculum systems, strengthening the deep integration of AI and policing operations, strengthening the construction of AI teaching effectiveness evaluation system strengthening the construction of AI teaching effectiveness evaluation system, enhancing faculty competence in AI utilization.
Wang XQ, Zhang J, 2023, Theoretical Implications and Practical Approaches for High-Quality Development of Higher Education. Journal of Higher Education Management, 2023(3): 21–31.
Hu AN, Zhou S, 2024, Beginners Standing on the Shoulders of Giants: Generative Artificial Intelligence in Social Science Research. Jiangsu Social Sciences, 2024(1): 57–65.
Dai W, Xu M, 2025, Exploration and Practice for Cultivation Mechanism of Professional Degree Postgraduates from Artificial Intelligence Interdiscipline: Taking China University of Mining and Technology as an Example. Control Engineering of China, 32(1): 185–192.
Lu GS, Liang R, 2023, Reform of Doctoral Training Models Under the Transformation of Knowledge Production Modes: International Experiences and Local Explorations. Research in Higher Education of Engineering, 2023(6): 173–178.
Lu Y, 2023, Educational Applications and Prospects of Generative Artificial Intelligence: A Case Study of ChatGPT System. Chinese Journal of Distance Education, 43(4): 24–31.
Ma YH, Yu Y, 2025, Innovative Choices for High-quality Development of Graduate Education in the Era of Digital Intelligence. Tsinghua Journal of Education, 2025(42): 40–47.
Wan YJ, Gu LP, 2024, Behavioral Motivation and Influencing Factors of Graduate Students Using AIGC Tool: An Empirical Analysis Based on Questionnaire Survey. Journal of Library and Information Science in Agriculture, 2024(10): 4–22.
Wang L, 2024, Reshaping Postgraduate Thesis Evaluation and Guidance in the Context of Large Language Model Technology. Academic Degrees & Graduate Education, 2024(12): 30–37.
Stokolsetal D, 2008, The Ecology of Team Science: Understanding Contextual Influences on Transdisciplinary Collaboration. American Journal of Preventive Medicine, 35(2): 96–115.
You BY, 2025, Opportunities, Challenges, and Countermeasures of Generative AI Assisting Social Science Postgraduates in Academic Writing. Journal of Chongqing University of Science and Technology (Social Science Edition), https://link.cnki.net/urlid/50.1231.C.20250408.1603.002