Immersive ideological and political education model integrating virtual reality and artificial intelligence

This paper proposes an immersive ideological and political education model integrating virtual reality (VR) and artificial intelligence (AI) to address the limitations of traditional unidirectional pedagogical approaches. The framework combines real-time 3D rendering, multi-modal interfaces, and adaptive AI algorithms to enable scenario-based learning and personalized content delivery. Technical foundations include VR systems (haptic feedback, spatial audio) and AI-driven components (NLP dialogue agents, reinforcement learning), achieving 35% higher engagement and 65% knowledge retention in pilot studies. System architecture integrates data, interaction, and AI layers, validated through a VR-AI museum case study with 500 users showing <20ms latency and 95% content accuracy. Challenges such as computational costs and data privacy are addressed via edge computing and federated learning, while policy alignment with national guidelines ensures ideological compliance. Future research emphasizes cross-disciplinary collaboration to harmonize technological innovation with ethical standards, expanding applications to policy simulations and decentralized learning ecosystems.