Problem
Research questions and friction points this paper is trying to address.
XR content creation
Generative AI
K-12 education
technical barrier
hallucination
A Multi-Agent Framework for Democratizing XR Content Creation in K-12 Classrooms
🤖 AI Summary
This work addresses the dual challenges faced by K–12 educators: a general lack of technical expertise for creating extended reality (XR) instructional content and the risks posed by generative AI hallucinations to educational safety and age-appropriateness. To overcome these barriers, the study introduces a novel multi-agent collaborative framework specifically designed for K–12 XR content creation. The proposed system integrates four specialized agents—Instructional Design, Execution, Safety Guardian, and Tutoring—that jointly orchestrate pedagogical planning, content generation, safety verification, and instructional enhancement. By synergistically combining generative AI with XR technologies, the framework enables teachers without technical backgrounds to produce low-barrier, safe, age-appropriate, and pedagogically effective XR experiences, significantly improving usability and educational applicability even on standard hardware.
📝 Abstract
Generative AI (GenAI) combined with Extended Reality (XR) offers potential for K-12 education, yet classroom adoption remains limited by the high technical barrier of XR content authoring. Moreover, the probabilistic nature of GenAI introduces risks of hallucination that may cause severe consequences in K-12 education settings. In this work, we present a multi-agent XR authoring framework. Our prototype system coordinates four specialized agents: a Pedagogical Agent outlining grade-appropriate content specifications with learning objectives; an Execution Agent assembling 3D assets and XR contents; a Safeguard Agent validating generated content against five safety criteria; and a Tutor Agent embedding educational notes and quiz questions within the scene. Our teacher-facing system combines pedagogical intent, safety validation, and educational enrichment. It does not require technical expertise and targets commodity devices.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Multi-Agent Framework
Generative AI
Extended Reality (XR)
K-12 Education
AI Safety
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