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Development of an artificial intelligence-based nursing simulation scenario evaluation tool: a methodological study
Eun Joo Kim1, Bitna Park2, Geun Myun Kim3
1Associate Professor, Department of Nursing, Gangneung-Wonju National University, Wonju, Korea.
Child Health Nursing Research
|October 30, 2025
Summary
A new standardized tool was developed to evaluate nursing simulation scenarios, enhancing the reliability and effectiveness of simulation-based education. This innovation improves consistency in assessing student clinical competencies.
Area of Science:
- Nursing Education
- Medical Simulation
- Educational Technology
Background:
- Simulation-based education is crucial for nursing students to develop clinical skills safely.
- Current evaluation methods for nursing simulations lack standardization, leading to inconsistent assessments.
Purpose of the Study:
- To develop a comprehensive and standardized Nursing Simulation Scenario Evaluation Tool.
- To enhance the reliability and effectiveness of nursing simulation-based education.
Main Methods:
- Utilized the Real-Time Delphi method with 10 nursing and simulation education experts.
- Derived criteria from the International Nursing Association for Clinical Simulation and Learning Standards and literature.
- Refined items through expert consensus and incorporated AI for objective assessment.
Main Results:
- Developed an evaluation tool with 8 domains and 36 items covering key aspects of simulation scenarios.
- Achieved strong expert agreement with a Kendall's coefficient of concordance of 0.739.
- The tool was patented in the Republic of Korea, highlighting its innovative nature.
Conclusions:
- Successfully developed a standardized, validated tool for evaluating nursing simulation scenarios.
- Addresses a critical gap in current educational practices, improving assessment consistency.
- Further validation across diverse educational settings is recommended for broader application.
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