人工智能赋能专业技术人员继续教育模式创新研究OACHSSCD

Against the backdrop of a new round of technological revolution,artificial intelligence(AI)is profoundly reshaping the modes of knowl-edge production and learning.As a key driver of regional high-quality development,professional and technical personnel(hereinafter referred to as"pro-fessionals")require continuing education models that can effectively respond to ongoing digitalization and intelligent transformation.Drawing on the cur-rent practices of continuing education for professionals in China,and informed by a review of relevant policies and existing research,this study introduces AI as a critical factor and examines the mechanisms through which it fosters innovation in continuing education.Specifically,the analysis focuses on three dimensions:dynamic demand identification,personalized learning modalities,and data-driven evaluation.Building on this analysis,the study proposes a continuing education model characterized by the pathway of"AI empowerment-model innovation-competency enhancement and developmental outcomes".The model comprises four core components:a precise demand diagnosis system,an intelligent curriculum system,a hybrid intelligent learning model,and an evaluation and incentive mechanism.The study further proposes implementation strategies,including the integration of recommendation and learning generation,the alignment of theoretical instruction and practical application,and the optimization of intelligent evaluation and feedback to establish di-verse AI application models.Ultimately,synergistic effects are cultivated across three developmental prospects:educational systems,talent development,and industrial operations,thereby facilitating the evolution of the continuing education system for professionals toward intelligence,personalization,and ecological sustainability.