A Systematic Review of Artificial Intelligence Applications in Education through Metaverse and Holographic Communication Technologies
Keywords:
Artificial Intelligence, Immersive Learning, Holographic Communication,, Metaverse, Neural RenderingAbstract
This paper presents a systematic review and conceptual framework on the applications of Artificial Intelligence (AI) in education through Metaverse environments and holographic communication technologies. Unlike experimental studies, the contribution is explicitly theoretical and strategic, synthesizing existing research to outline the potential of AI in enabling immersive and scalable educational systems. The review examines core techniques—neural rendering, predictive modeling, image enhancement, adaptive compression, and multisensory adaptation—highlighting their roles in supporting real-time holographic rendering, personalized learning, and interactive engagement. A multi-layered integration framework is proposed to link AI with volumetric streaming and neuroadaptive feedback systems. Representative use cases include collaborative classrooms, medical training simulations, and brain–computer interface (BCI)-based adaptive learning. Key technical and ethical challenges such as scalability, latency, privacy, and algorithmic transparency are identified. The study positions itself as a conceptual and strategic contribution, providing a focused foundation for advancing AI-powered holographic Metaverse ecosystems in education.
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