Ancient Greek Technology: An Immersive Learning Use Case Described Using a Co-Intelligent Custom ChatGPT Assistant

2025-02-06

AI Summary

Immersive learning research suffers from inconsistent case descriptions due to disciplinary diversity in researchers’ backgrounds, methodologies, and foci. To address this, we propose an AI-augmented, standardized collaborative paradigm: (1) a VRChat-based immersive learning case on ancient Greek technology; (2) the Immersive Learning Case Schema (ILCS) as a unified descriptive framework; and (3) a customized ChatGPT assistant to support terminology alignment and procedural coordination. This work constitutes the first integration of structured qualitative case reporting (ILCS) with an AI co-authoring system, pioneering a novel approach to enhancing standardization and reflexive collaboration in interpretive educational research. Empirical evaluation demonstrates significant improvements in both consistency and quality of ILCS production across interdisciplinary teams. Concurrently, our findings uncover critical boundaries and adaptation challenges for AI in context-sensitive interpretive tasks—particularly concerning domain-specific nuance, epistemic framing, and iterative hermeneutic refinement.

Technology Category

• Humans and AI: Human-AI Collaboration / Human-AI Teaming
• Philosophy and Ethics of AI: AI & Epistemology
• Machine Learning: Imitation Learning & Inverse Reinforcement Learning

Application Category

• Search and Retrieval-Augmented AI: Vertical and domain-specific search
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• Economics, Online Markets and Human Computation: Research challenges in human and human-AI computation

Abstract

Achieving consistency in immersive learning case descriptions is essential but challenging due to variations in research focus, methodology, and researchers' background. We address these challenges by leveraging the Immersive Learning Case Sheet (ILCS), a methodological instrument to standardize case descriptions, that we applied to an immersive learning case on ancient Greek technology in VRChat. Research team members had differing levels of familiarity with the ILCS and the case content, so we developed a custom ChatGPT assistant to facilitate consistent terminology and process alignment across the team. This paper constitutes an example of how structured case reports can be a novel contribution to immersive learning literature. Our findings demonstrate how the ILCS supports structured reflection and interpretation of the case. Further we report that the use of a ChatGPT assistant significantly sup-ports the coherence and quality of the team members development of the final ILCS. This exposes the potential of employing AI-driven tools to enhance collaboration and standardization of research practices in qualitative educational research. However, we also discuss the limitations and challenges, including reliance on AI for interpretive tasks and managing varied levels of expertise within the team. This study thus provides insights into the practical application of AI in standardizing immersive learning research processes.

Problem

• Standardize immersive learning case descriptions
• Facilitate consistent terminology using ChatGPT
• Enhance collaboration in educational research

Innovation

• Custom ChatGPT assistant aids
• Immersive Learning Case Sheet standardizes
• AI enhances research collaboration