基于数智评价的学科专业结构调整:内在逻辑、制度设计与实践路径OA

Based on system analysis grounded in control theory,the relationship between intelligent and data-driven evaluation and the adjustment of academic discipline and major structures in universities can be characterized by four types of coupling:real-time monitoring and early warning,precise diagnosis and optimized adjustment,predictive guidance and forward-looking planning,and dynamic adaptation and iterative upgrading.In terms of institutional design,universities should ensure that intelligent and data-driven evaluation adheres to the principle of balancing quality,distinctiveness,and contribution,while comprehensively building a scientific and systematic indicator framework and a diverse and reasonable standards system.At the same time,they should establish an effective coupling mechanism linking intelligent evaluation with the adjustment of discipline and major structures.Universities should construct a sound data-governance framework to lay a solid foundation for intelligent and data-driven evaluation;Develop a three-level data-cockpit system to provide a systematic platform supporting evaluation;Build multidimensional profiling systems for degree programs and disciplines to enable precise structural mapping;Continuously upgrade dynamic monitoring and annual reporting systems for degree programs to generate evidence-based adjustment plans for discipline and major structures.