The Motivation Origin,Operating Mechanism and Optimization Strategy of Generative AI Driving Higher Education Governance
YU Dengke
ZHAO Zhuang
Abstract：In the specific scenario where generative AI drives higher education governance,this paper deconstructs the four-dimensional motivation origins of"guidance force—endogenous force—driving force—guarantee force"to clarify the dialectical positioning of policy guidance,the efficiency and equity demands of endogenous needs,the cognitive paradigm innovation driven by technology,and the risk prevention and control function of institutional guarantees.Furthermore,it analyzes the operational mechanisms of various motivational elements at the"point-line-plane"levels,demonstrating the evolutionary logic of governance elements from mechanical superposition to organic integration.Finally,it proposes optimization strategies of"capacity upgrading to address element weakness,channel optimization to resolve coordination bottlenecks,and ecological resilience building to nourish the governance ecosystem as a living entity",providing a theoretical framework and practical path that integrates innovative momentum and ethical bottom lines for the intelligent transformation of higher education.
Keywords：generative artificial intelligencehigher education governancemotivation originoperational mechanismoptimization strategy
Publication Date：2025-09-30
Online Publishing Date：2025-10-16(First online date of this platform, not the publication date of the document)
Pages：6( 31-35,68 )