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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
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
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  Data: MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education
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  Data: 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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      – Text: English
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      – SubjectFull: Natural Language Processing
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      – SubjectFull: Brainstorming
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      – SubjectFull: Alignment (Education)
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      – TitleFull: MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education
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            NameFull: Mohammed Oussama Seddini
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              Y: 2026
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            – TitleFull: International Association for Development of the Information Society
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