Research on the Transformation Mechanism of Curriculum Ideology and Politics from "Suspension" to Rooting" Driven by Generative Artificial Intelligence
Hua Yang, Enhai Dong, Xianhong Wu
Abstract
The "Suspension" of ideological and political education in university courses represents a key challenge in advancing this initiative. How to achieve a paradigm shift from this Suspension to the Rooting of ideological and political education—thereby enhancing the relevance, appeal, and sustainability of such education—has become a central issue in universities' efforts to cultivate virtue and foster talent. This paper employs the general inductive method, grounded in literature and integrated with generative AI technology, to analyze the practical transformation mechanism from ideological and political education "floating" to "taking root." Findings reveal three practical dilemmas in curriculum-based ideological and political education: fragmentation at the theoretical operationalization level, fragmentation at the emotional level, and fragmentation at the discourse system level. From an AI-driven perspective, this paper proposes countermeasures to facilitate the transition of ideological and political education from "detachment" to "grounding." These strategies include: leveraging AI to shift ideological and political education from macro-theory to micro-narratives; utilizing AI to foster emotional connections in ideological and political education; and employing AI to facilitate discourse translation and reconstruction in ideological and political education.