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Dataset Information

Silent teachers: Narratives from the simulation lab.


ABSTRACT:

Introduction

Patient mannequins are ubiquitous in simulation-based medical education, yet their own 'stories' remain untold. This paper adopts a playful, phenomenological lens, amplified by artificial intelligence (AI), to explore the fictional 'lived experiences' of these silent teachers and reflect on their pedagogical significance.

Methods

Fictional narratives were generated for three representative mannequins - Mr. Heart Attack, Mrs. Difficult Birth and a composite 'Geriatric Triplet' representing common geriatric syndromes - using a large language model (ChatGPT 4.0). These narratives were analysed using qualitative methods (narrative inquiry, phenomenology, content analysis) to explore their 'experiences' and pedagogical roles.

Results

The AI-generated narrative

SUBMITTER: Lawson McLean A 

PROVIDER: S-EPMC12717498 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature