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

arXiv cs.AI / 4/20/2026

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Key Points

  • The article proposes MRGEN, a conceptual framework for LLM-powered mixed reality (MR) authoring tools that help teachers create educational MR activities without technical expertise.
  • MRGEN is structured around three axes: Learning Objectives, MR Modality, and generative AI (GAI) Assistance.
  • A prototype built on the open-source MIXAP platform was evaluated in a user study with 24 participants.
  • The study found an average 36% reduction in authoring task duration and reported that over 90% of participants found the AI assistance helpful for brainstorming, structuring content, and aligning it with learning goals.
  • Overall, the results suggest strong potential for future AI-assisted MR authoring tools aimed at mobile devices.

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.