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Development and effects of a scenario-based labor nursing simulation education program using an artificial
1College of Nursing, Kyungwoon University, Gumi, Korea.
Women'S Health Nursing (Seoul, Korea)
|July 10, 2025
Summary
Artificial intelligence (AI) tutors significantly improved nursing students' knowledge, clinical performance, and digital literacy in a labor nursing simulation. This AI-driven approach enhances educational outcomes in nursing.
Area of Science:
- Nursing Education
- Medical Simulation
- Artificial Intelligence in Healthcare
Background:
- Traditional simulation methods are crucial for nursing education.
- Integrating advanced technologies like AI tutors can potentially enhance learning outcomes.
- Assessing the impact of AI on nursing students' skills is essential for curriculum development.
Purpose of the Study:
- To evaluate the effectiveness of an AI tutor-supported labor nursing simulation program.
- To measure the impact on nursing knowledge, critical thinking, clinical performance, and digital literacy.
- To compare AI-assisted simulation with conventional high-fidelity simulation.
Main Methods:
- Quasi-experimental study with a non-equivalent control group (pre- and post-test design).
- Seventy-two fourth-year nursing students participated.
- Experimental group used AI tutor simulation; control group used conventional simulation over five sessions.
Main Results:
- The AI tutor group showed significantly higher scores in nursing knowledge (p<.001).
- Clinical performance (p=.020) and digital literacy (p<.001) were also significantly improved in the AI tutor group.
- No significant difference was found for critical thinking disposition.
Conclusions:
- Scenario-based labor nursing simulation with an AI tutor effectively enhances nursing knowledge, clinical performance, and digital literacy.
- AI tutors offer a promising tool for improving nursing education outcomes.
- Further research should explore AI in diverse women's health nursing simulations to boost critical thinking and judgment.
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