大数据驱动下义务教育公共服务的供需匹配:理论阐释、困境展现与实现路径OA北大核心CHSSCD

The development of big data brings innovative momentum to compulsory education public services,promoting a precise connection between supply and demand,and facilitating a shift in the governance model from empirical judgment to data-driven precise matching.However,compulsory education public services still encounter numerous challenges in adapting to this technological trend.Based on the theory of supply and demand matching,and focusing on the three dimensions of demand-side management,supply-side response,and big data utilization,an action framework is constructed for matching the supply and demand of compulsory education public services,driven by big data.This framework thereby reveals the operating mechanism of the precise management process and provides strong support for continuous optimization.To promote the expansion and enhancement of basic education and achieve the matching of supply and demand for public services in compulsory education,key paths such as the construction of new infrastructure projects,robust data systems,establishment of data intelligence capabilities,optimization of supply models,exploration of dynamic monitoring systems,and development of smart evaluation systems should be followed.