Research on the Integration of Ideological and Political Education Resources and the Improvement of Educational Efficiency under the Background of Artificial Intelligence

Abstract

With the entry of artificial intelligence (AI) technology into the education field, fundamental changes have taken place in the resource organization mode, classroom operation form and educational evaluation logic of ideological and political education. Centering on the
two main lines of "resource integration" and "educational efficiency improvement", this paper analyzes the internal requirements for ideological and political education to evolve from scattered materials to collaborative resources and from experience-based supply to targeted education in the AI era. It further puts forward optimization strategies covering multi-source resource identification, curriculum objective restructuring, intelligent label management, student portrait construction and human-machine collaborative guidance. The study holds that AI is not a
simple substitute for teachers' work. Instead, through resource governance, process perception and feedback analysis, it facilitates the precise
supply of educational content, situational teaching interaction and traceable educational effects in ideological and political education, and provides a basis for subsequent curriculum optimization.