【关 键 词 】：
人工智能； 教育治理； 算法； 大数据； 决策
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.