Generative AI Backstories for Simulation Preparation

Background: Developing engaging presimulation learning materials that provide contextualized patient information is needed to best prepare students for nursing simulation. One emerging strategy that can be used by educators to create visual images for storytelling is generative artificial intelligence (AI). Purpose: The purpose of this pilot study was to determine how the use of generative AI–created patient backstories as a presimulation strategy might affect student engagement and learning in nursing simulation. Methods: A qualitative cross-sectional survey with content analysis was completed with undergraduate nursing students following an acute care simulation. Results: Student surveys point to positive pedagogical outcomes of using AI image generation as a strategy to prepare for simulation such as decreased anxiety in simulation, increased preparatory knowledge, and increased emotional connection with the patient's story. Conclusions: Images created with generative AI hold promise for future research and transforming nursing education.