【作 者】：
侯浩翔， 钟婉娟
【关 键 词 】：
人工智能； 教育治理； 算法； 大数据； 决策
【栏 目】：
理论探讨
【中文摘要】：
人工智能是历经多次产业革命和长期技术积累的共同成果，具有技术优势与社会属性高度融合的典型特征。通过分析人工智能的意涵与技术进路，得出借助于机器学习、专家系统和人机交互等关键技术，能够实现教育治理信息筛选与情境再现、系统识别应答复杂教育情境、神经网络模拟辅助教育治理决策行为。但因与传统的教育治理体制机制不相适应，使得教育治理面临着多元主体“功能性”缺位、垂直单向的组织结构“能动性”不足、治理思维认知与行动方式的“阻滞性”、治理制度“规制性”和伦理道德“规范性”缺失等现实困境。为破解这些难题，提出明辨多元治理主体权限，优化治理组织架构，推进治理理念与行为建设，尤其关注重构监督机制及伦理道德等因应策略，为实现教育治理智能化和现代化提供支撑。
【英文摘要】：
Artificial intelligence is a common achievement based on many industrial revolutions and long-term technology accumulation, which characterizes high integration of technological advantages and social attributes. By analyzing the implication and technical approach of artificial intelligence, it is concluded that with the help of key technologies such as machine learning, expert system and human-computer interaction, the information screening and situation representation of educational governance, system's identification and response of the complex educational situation, the decision-making behavior of auxiliary education governance simulated by neural network can be realized. However, because of the inappropriate traditional institutional mechanism， educational governance is faced with such practical dilemmas as the absence of the function of multiple subjects, the lack of the initiative of vertical and one-way organizational structure, the retardation of governance thinking and action mode, the regulation of governance system and the lack of ethical and moral standardization. In order to solve those problems, this paper puts forward some countermeasures, such as distinguishing the authority of multiple governance subjects, optimizing the organizational structure of governance, promoting the construction of governance concepts and behaviors, paying special attention to the reconstruction of supervision mechanism and ethics, etc., so as to provide support for realizing the intellectualization and modernization of educational governance.
【下 载】：
人工智能视阈下教育治理的技术功用与困境突破