用大模型辅助教师轻松创建移动端混合现实教学内容
MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education
- 提出三轴框架:学习目标、混合现实模态与AI辅助
- 大模型工具使创作时间平均减少36%
- 超90%用户认为AI在构思和对齐目标上很有帮助
混合现实(MR)为教育提供了沉浸式多模态体验,但教师因缺乏技术能力难以自主创作。本文提出MRGEN概念框架,支持基于大语言模型(LLM)的作者工具,帮助教师在移动设备(平板和手机)上创建MR学习活动。该框架包含三个维度:学习目标、MR模态与GAI辅助。我们基于开源MIXAP平台实现原型,并通过24名参与者的用户研究验证。结果显示,使用大模型辅助创作使任务时长平均减少36%,超过90%的参与者认为AI在头脑风暴、内容结构化及与学习目标对齐方面非常有帮助。这些结果为未来人工智能辅助的MR创作工具提供了有力支持。
原文摘要 · Abstract (English)
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.
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