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

TL;DR

This paper demonstrates how a structured instrument and a custom AI assistant can standardize immersive learning case descriptions, improve team collaboration, and enhance research quality in educational VR applications focused on ancient Greek technology.

Contribution

It introduces the ILCS and a co-intelligent ChatGPT assistant as novel tools for standardizing and supporting immersive learning case reporting and team collaboration.

Findings

ILCS supports structured reflection and interpretation.

ChatGPT assistant improves coherence and quality of case reports.

AI tools can enhance collaboration in qualitative research.

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.