Research on the Systemic Transformation Path of Higher Education Driven by Artificial Intelligence: A Policy-Oriented Analysis Based on Multi-University Practices

Research on the Systemic Transformation Path of Higher Education Driven by Artificial Intelligence: A Policy-Oriented Analysis Based on Multi-University Practices Author’s Details: Zhou Xiwen & Guoping Ding * Jiangsu University, School of Finance and Economics, No 301, Xuefu Road, Zhenjiang, Jiangsu, China,212013, Zhou Xiwen, Email: 3230808062@ujs.edu.cn. *Corresponding Author: 1000003026@ujs.edu.cn Abstract: This paper systematically analyzes the application status and development paths of artificial intelligence technology in the field of higher education from a macro policy perspective. By conducting a comparative analysis of typical domestic and international cases and introducing SWOT and PESTLE analytical frameworks, it delves into the institutional obstacles and breakthrough paths in the process of technological integration. The article constructs a logical chain of "problem-diagnosis-solution" and proposes a systematic reform plan encompassing governance frameworks, resource allocation, and evaluation systems, providing actionable policy references for the digital transformation of higher education. Keywords: Artificial Intelligence Policy; Higher Education Reform; System Governance; Resource Allocation; Digital Transformation