Research on Optimization Paths for Ideological and Political Course Classroom Interaction in Universities Under the Empowerment of Digital Intelligence

The contemporary era is defined by the rapid advancement of digital intelligence, a transformative force reshaping the landscape of higher education. Ideological and Political (I&P) courses in China, as a crucial component of cultivating socialist builders and successors, face both unprecedented opportunities and significant challenges in this new context. The traditional, one-way model of teaching, characterized by teacher-centered instruction and student passivity, is proving increasingly ineffective in engaging the digital-native generation. This paper posits that the "digital intelligence empowerment" paradigm offers a fundamental solution to the optimization of I&P course classroom interaction. Through a systematic analysis, this study first deconstructs the current dilemmas in I&P course interaction, identifying generational, institutional, and pedagogical barriers. Subsequently, it explores the multi-faceted ways in which digital intelligence technologies—such as big data analytics, artificial intelligence (AI), and extended reality (XR)—can empower this interactive process. The core of this paper proposes a "Three-Dimensional Empowerment Model" for optimizing classroom interaction, focusing on intelligent infrastructure, pedagogical innovation, and institutional support. It details three critical implementation paths: creating an immersive interactive atmosphere through XR to foster emotional resonance; fostering collaborative learning using AI-driven platforms; and achieving personalized guidance through big data analytics. Finally, the study outlines corresponding countermeasures, including strengthening teacher digital literacy and ensuring ethical data use, to ensure the successful implementation of these paths. The ultimate goal is to transform I&P course classrooms into dynamic ecosystems of critical thinking and deep-seated value internalization.