Research on Double Closed-Loop AI Ideological and Political Education Based on Multimodal Real-Time Intervention and Value Identity Promotion

Abstract

In the era of deep penetration of intelligent technology, ideological and political courses in colleges and universities are facing the dual challenges of declining participation and lagging evaluation. To solve these problems, based on a comprehensive teaching pilot in a university, this paper constructs a double closed-loop teaching framework of data circulation and control circulation and introduces three core technologies, namely edge computing, emotion recognition, and adaptive push, to conduct millisecond-level perception and dynamic intervention on classroom state. In this paper, an artificial intelligence (AI)-empowered ideological and political education model of low invasion, high morality, and strong ethics has been successfully verified through experiments. AI can be used not only as a tool to improve teaching efficiency but also to promote the formation and solidification of students' internal values through accurate real-time intervention, providing a replicable and scalable technical path for the future development of wisdom education.