摘要
人工智能的快速发展与部署推动着全球教育体系的深刻变革,但技术在教育实践中的落地效果却远未达到预期,反而凸显出技术逻辑与制度结构之间的深层张力。本研究基于新制度主义的三维分析视角,构建了“嵌入—摩擦—调试”的动态分析框架,通过对中国人工智能教育应用的政策实践与地方试点案例的系统考察,揭示了人工智能技术嵌入教育制度过程中初期碰撞、结构摩擦及适应性调试的全过程与内在机制。研究发现,人工智能系统进入中国教育场域时遭遇的适配困境与制度结构刚性、角色期待冲突及认知偏差密切相关;制度的能动回应能力在很大程度上决定了人工智能在教育场域的实际成效。中国教育制度通过政策边界调整、组织机制重构与文化认知协商逐步实现对人工智能技术的阶段性容纳与有条件吸纳,展现出一种本土化、非线性的制度调试型创新路径。
The rapid development and deployment of artificial intelligence(AI)is driving profound transformations in global education systems.However,the practical implementation of AI in education reveals highly divergent outcomes,highlighting a fundamental tension between technological logic and institutional structures.Based on a three-dimensional analytical perspective from the New Institutionalism,this study constructs a dynamic framework of“Embedding-Friction-Recalibration”to systematically examine China’s policy practices and local pilot cases of AI in education(AIEd).The research aims to uncover the full process and internal mechanisms of initial collision,structural frictions,and adaptive recalibration as AI enters the education system.The findings indicate that the adaptation challenges AI face in China’s educational field are closely related to institutional rigidity,conflicting role expectations conflicts,and cognitive biases.The effectiveness of AI is not determined by how advanced the technology is,but by whether the institutional system can be recalibrated.The key of AIEd implementation hinges on the system’s capacity for institutional learning and adaptive flexibility.Through policy boundary adjustments,organizational restructuring,and cognitive negotiation,China’s education system has gradually achieved staged and conditional integration of AI technologies,thereby demonstrating a localized,non-linear,recalibration-driven path of institutional innovation.
作者
陈俐冰
王术
Chen Libing;Wang Shu
出处
《城市观察》
2025年第4期37-45,158,159,共11页
Urban Insight
关键词
人工智能教育应用
新制度主义
制度调试
智慧教育
教育数字化
Artificial Intelligence in Education(AIEd)
New Institutionalism
Institutional Recalibration
Smart Education
Education Digitalization
