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MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education

arXiv
Mohammed Oussama Seddini (LIUM), Mohamed Ez-Zaouia (UR, IRISA, DRUID), Ngoc Luyen Le (Heudiasyc), Iza Marfisi (LIUM, IUT Laval)

arXiv:2604.15341v1 Announce Type: cross Abstract: Mixed Reality (MR) offers immersive and multimodal opportunities for education but remains difficult for teachers to author without technical expertise. We propose MRGEN, a conceptual framework for LLM-powered authoring tools to support teachers in creating MR learning activities that work on mobile devices (tablets and smartphones). MRGEN articulates three axes: Learning Objectives, MR Modality, and GAI Assistance. To validate our framework, we implemented a prototype based on the open-source MIXAP authoring platform and conducted a user study with 24 participants. Results show that LLM-powered authoring reduced task duration by 36% on average, and that over 90% of participants found the AI support helpful for brainstorming, structuring, and aligning content with their learning goals. These findings yielded very promising results for future AI-assisted MR authoring tools.