AI-Driven Situated Cognition Interaction Design for Immersive Learning in Virtual Space Tourism
Wen Wen, Yao Liu, Tianli He, Wang Ying · Journal of Artificial Intelligence Practice · 2025
This study presents an AI-Driven Situated Cognition Interaction Design Model of VR immersive learning context specifically related to virtual space tourism. This research intends to apply to pedagogy through the use of AI-based systems, collaborative engagement, and sustainable learning to close the gap between immersive technology and an educational outcomes. The model proposed emphasizes authentic contexts, real-time interactivity, and self-projection promising a traditional platform for exploiting sustainability challenges of space exploration. The Cabin integrates range sensors, a VR Space Tourism Experience, AI-based life-support systems, high-resolution VR displays, and embodied interaction sensors to create realistic scenarios. User studies showed an increase in users understanding of sustainability concepts, collaborative problem-solving and long-term retention. This study demonstrates how AI can empower designers to imagine and create interactive learning environments that cultivate critical awareness and sustainable behaviors of content for real world challenges.