Analysis on the Adaptive Service Framework and Implementation Path of Smart Education Platform
Adaptive service is a crucial aspect of innovation in the construction and operation of the smart education platform ecosystem,with its core concept being the promotion of resource services based on"efficiency"and"feedback".Research on typical platforms has found a shift from Pareto efficiency to adaptive efficiency in platform services,as well as a trend from evaluative feedback to adaptive feedback.The characteristics of adaptive efficiency and feedback form the foundational elements for constructing an adaptive service framework.It is necessary to combine indicators such as high response rate,high adaptability of service results,and low-cost resource construction strategies to establish a full-chain feedback system for service goals,processes,and outcomes.To advance the adaptive service work of the smart education platform in practice,it is crucial to:(1)establish mechanisms for data collection and intelligent perception of user status;(2)leverage knowledge graphs,recommendation algorithms,and incorporate pre-trained large models to promote dynamic adaptation of teaching resources;(3)establish an organic connection among knowledge,resources,and user cognitive characteristics to facilitate resource recombination and reuse.