中国职业技术教育

在国家政策明确倡导人工智能与教育评价深度融合的背景下，省域高等职业教育质量评价的智能化升级已成为新时代教育评价改革的必然趋势。AI智能体的运用将推动评价方式从“静态评价”向“动态监测”、评价维度从“单点抽样”向“全面覆盖”、评价主体从“单一主体”向“多元主体”、评价决策从“经验驱动”向“人机协同”的四重转变，同时也将面临标准缺失引致的结果误判、隐私安全引致的伦理失范、数据主义引致的模型偏见、工具依赖引致的人机失衡、算法黑箱引致的公信挑战，因此需通过重构智能体评价理念、构建数据驱动的评价标准、完善全程规约的评价制度、搭建工具赋能的智能体矩阵、健全动态演化的迭代机制，推动省域高等职业教育质量评价向智能化、科学化、协同化方向发展。

Against the backdrop of national policies advocating for the deep integration of artificial intelligence and educational evaluation, the intelligent upgrading of provincial higher vocational education quality evaluation has become an inevitable trend in the reform of educational evaluation in the new era.The application of AI intelligent agents will promote the four-fold transformation of evaluation methods from "static evaluation" to "dynamic monitoring", evaluation dimensions from "single point sampling" to "comprehensive coverage", evaluation subjects from "single subject" to "multiple subjects", and evaluation decision-making from "experience driven" to "human-machine collaboration". At the same time, it will also face the result misjudgment caused by the lack of standards, ethical misconduct caused by privacy and security, model bias caused by dataism, human-machine imbalance caused by tool dependence, and public trust challenges caused by algorithm black boxes. Therefore, it is necessary to reconstruct the evaluation concept of intelligent agents, construct data-driven evaluation standards, improve the evaluation system of the entire process, build an intelligent agent matrix empowered by tools, and improve the iterative mechanism of dynamic evolution to promote higher education in provinces and regions. Furthermore, it will promote the development of intelligent, scientific, and collaborative evaluation of the quality of provincial higher vocational education.