供需适配视角下数智技能人才培养:理论逻辑、模式架构与实践路径OA

Against the backdrop of advancing the strategy of building a powerful education country and accelerating the digital-intelligent transformation of industries,the supply-demand matching in the cultivation of digital-intelligent skilled talents has become a crucial link connecting vocational education reform and high-quality industrial development.The supply-demand matching of digital-intelligent skilled talents refers to the process of achieving a dynamic balance between the supply of such talents and the demand of industrial digital-intelligent transformation.It encompasses dimensions such as quantity matching,quality matching,structure matching,and timing matching.Based on the four theoretical logics of multiple collaboration,dynamic iteration,capability generation,and value transformation,a collaborative cultivation model for digital-intelligent skilled talents is constructed,consisting of four modules.Specifically,"demand identification"focuses on data collection and trend analysis;"resource integration"coordinates diverse educational resources from government,industry,enterprises,and schools;"process adaptation"promotes the optimization of disciplines,curriculum,practical training,and teaching models;and"feedback iteration"calibrates deviations and optimizes training programs through talent evaluation.On this basis,the guarantee system is improved from institutional,technical and mechanistic perspectives,and four practical paths are proposed:accurately identifying industrial needs,deepening government-industry-university-enterprise collaboration,optimizing the cultivation process,and promoting dynamic feedback and iteration.