生成式人工智能何以支持深度认知建构?OA

Generative artificial intelligence is accelerating its integration into teaching practice,but how external intelligence support translates into learners' deep cognitive development remains to be elucidated.Aiming at the question of"how does GenAI support deep cognitive construction",this paper proposes the concept of"Cognitive Resonance"as a systematic analysis framework based on the core needs of deep cognitive construction,and explains its basic connotation from the three levels of condition-process-result:structural alignment,interactive alignment,goal alignment and context alignment as prerequisites,human-machine collabora-tion between external intelligence support and learners' active processing as a process,and cognitive input enhancement,cognitive regulation initiation,cognitive construction promotion and cognitive transfer generation as enhancement results.Based on this frame-work,this paper further analyzes the four mechanisms of probabilistic recombination,dialogic interaction,hallucination,and multi-role simulation to support the construction of deep cognition,and puts forward four principles of scenario design oriented toward multi-source integration,dialogue design oriented toward process extemalization,task design oriented toward critical evaluation,and role de-sign oriented toward collaborative transfer.The purpose of this study is to provide a more integrated explanatory perspective for under-standing the internal mechanism of GenAI's support for deep cognitive construction,and to provide a design reference for promoting GenAI from the instrumental use of generating answers to the constructive support of cognitive development.