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Domain-grounded mediation framework for LLM-assisted VR instruction

Design · All designs
Evidence · 2 claims (1 for, 1 mixed) · 1 study (1 design), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The article frames LLM-assisted VR instruction as a mediation process connecting three layers: expert expression, executable operations, and learner-facing representations. The authors state that their findings characterize LLM-assisted VR instruction as a "domain-grounded mediation process among expert expression, executable operations, and learner-facing representations." In this framework, an instructor's high-level pedagogical intent must be translated into concrete scene manipulations while simultaneously being made understandable to learners. Technical executability alone is insufficient because generated actions must remain inspectable and controllable by the instructor.

Design Implications

Context

Requirements

  • An instructor-facing system that translates pedagogical intent into executable actions within a domain-specific VR environment
  • Domain knowledge integration into LLM prompting to constrain generation to valid operations

Constraints

  • Focused on instructor-facing live concept delivery rather than dynamic student interaction
  • Generated actions require instructor review and approval before execution

Target Learners

  • Stage lighting instructors
  • Beginner-level technical theater arts students

Learning Goals

  • Understanding spatial lighting relationships
  • Connecting technical operations with visual effects
  • Acquiring domain-specific terminology

Claims

Examples

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Key Sources

  • Danxuan Liang, Chun Yin Li, Zheng Wei, Xian Xu, Meng Xia, Huamin Qu, Wai Tong. (2026). LumiNote: LLM-Assisted Multimodal Instruction for VR Stage Lighting Education. https://arxiv.org/abs/2609.17335
Page metadata
Field Value
type design
id domain-grounded-mediation-llm-vr-instruction
title Domain-grounded mediation framework for LLM-assisted VR instruction
description The article frames LLM-assisted VR instruction as a mediation process connecting three layers: expert expression, executable operations, and learner-facing representations.
status review
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — danxuan-liang-2026

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