生成式人工智能赋能高校思想政治教育的出场逻辑、创新机制及策略研究OACHSSCD

In the context of the digital era,the rapid advancement of AI technology has catalyzed profound transformations in the field of education.This study focuses on the application of GAI in university-level ideological and political education.Grounded in policy orientations and practical needs,it explores the theoretical framework,mechanisms,and optimization strategies for leveraging GAI to enhance this educational domain.By analyzing the technical characteristics,pedagogical value,and application paradigms of GAI,this research innovatively constructs an integrated and closed-loop intelligent education mechanism for ideological and political education,which interlinks technology empowerment,motivation stimulation,adaptive learning,effective learning,and reinforcement learning.Furthermore,it proposes strategic recommendations that shift from a model centered on improvement,optimization,refinement,and risk prevention to a comprehensive focus on technology empowerment.These strategies aim to advance ideological and political education toward greater contemporaneity,precision,personalization,interactivity,and contextual relevance.