MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education
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| Title: | MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education |
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| Language: | English |
| Authors: | Mohammed Oussama Seddini, Mohamed Ez-Zaouia, Ngoc Luyen Le, Iza Marfisi-Schottman |
| Source: | International Association for Development of the Information Society. 2026. |
| Availability: | International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org |
| Peer Reviewed: | Y |
| Page Count: | 8 |
| Publication Date: | 2026 |
| Document Type: | Speeches/Meeting Papers Reports - Research |
| Descriptors: | Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Computer Simulation, Teacher Education, Electronic Learning, Learning Objectives, Brainstorming, Alignment (Education) |
| 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. [For the full proceedings, see ED682246.] |
| Abstractor: | As Provided |
| Entry Date: | 20260101 |
| Accession Number: | ED682395 |
| Database: | ERIC |
| 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. [For the full proceedings, see ED682246.] |
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