MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education
This addresses the difficulty for teachers in authoring MR educational activities, though it appears incremental as it builds on existing platforms.
The authors tackled the problem of teachers lacking technical expertise to create Mixed Reality (MR) educational content by proposing MRGEN, a conceptual framework for LLM-powered authoring tools, which reduced task duration by 36% and was found helpful by over 90% of participants.
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.