earticle

영어

The evolution of generative artificial intelligence—exemplified by OpenAI's ChatGPT and other large language and vision models—has sparked considerable change across multiple domains, including education. Particularly within immersive media education and digital content production, generative AI introduces new pedagogical possibilities that transcend traditional workflows. This study investigates how generative AI technologies can be practically integrated into projection mapping education, aiming to enrich learner engagement and foster immersive creative experiences in both technical and artistic dimensions. This research centers on formulating an instructional framework that embeds generative AI tools into the stages of projection mapping production: from ideation and conceptual development to asset creation, spatial mapping, and real-time visual synchronization. Students engaged in this process benefit from AI-assisted content generation, including text-to-image modeling, automated storyboard creation, and simulation-based visual testing, which together accelerate their creative pipeline and lower the cognitive load associated with complex technical execution. Moreover, the study explores how the integration of AI technologies influences learners’ sense of immersion, autonomy, and creative confidence. Drawing on a combination of structured instructional design and exploratory field experiments, the project collected both qualitative and quantitative data through observational analysis, participant interviews, and expert validation. Results indicate that AI-supported education not only improves students’ task efficiency and comprehension but also amplifies their emotional and cognitive engagement during production-based activities. In addressing the challenges of educational accessibility and the gap between conceptual learning and realworld production, the study offers a scalable model adaptable to diverse educational environments, including major learners and interdisciplinary design programs. Furthermore, it provides concrete pedagogical strategies for educators seeking to integrate AI technologies into their teaching, with a focus on maximizing learner immersion, creative expression, and project-based outcomes. This case study ultimately contributes to the discourse on next-generation educational practices in immersive content creation, proposing generative AI as a transformative catalyst for both teaching innovation and learner-centered design in the age of intelligent media.