Development and effects of a scenario-based labor nursing simulation education program using an artificial intelligence tutor: a quasi-experimental study

Abstract

Purpose: This study was conducted to determine the effects of a scenario-based labor nursing simulation education program using an artificial intelligence (AI) tutor on knowledge, critical thinking disposition, clinical performance abilities, and digital literacy.

Methods: This quasi-experimental study employed a non-equivalent control group pre- and post-test design. Seventy-two fourth-year nursing students (38 experimental, 34 control) were recruited from a university in Gumi, Korea. The experimental group participated in a scenario-based simulation education program supported by an AI tutor, while the control group engaged in conventional high-fidelity simulation training. Both groups attended sessions once per week for 2 hours over five sessions. Data were collected from August to December 2023 and analyzed using descriptive statistics, homogeneity testing, and the independent t-test.

Results: Simulation using an AI tutor resulted in significantly higher scores for the experimental group compared to the control group in nursing knowledge (t=7.03, p<.001), clinical performance (t=7.80, p=.020), and digital literacy (t=5.02, p<.001).

Conclusion: The scenario-based labor nursing simulation program utilizing an AI tutor was effective in improving nursing students’ delivery of knowledge, clinical performance, and digital literacy. Future research should focus on developing diverse and advanced simulation programs tailored to various areas of women’s health nursing, to further enhance critical thinking and clinical judgment capabilities.