Development of an Optimized Model for Behavioral Training Task Education System

Objective: This study aims to develop optimized behavioral training model for medical functional teams in the Republic of Korea Armed Forces. To this end, training tasks were first derived to support efficient specialty training in current medical units, followed by a comparative analysis with training models from other institutions. The model was then developed by apply the principles of situated learning theory.Method: This study analyzed the relevant references on behavior training tasks derived from Armed Forces Medical Readiness & Training using “Comparative Institutional Analysis,” a questionnaire was distributed to 10 military and non-military education and training experts.After reviewing the validity and reliability through the Contents Validity Index and Inter-Rater Agreement index, the optimization model reflecting them was proposed.Results : 1) Expert validation result : The Content Validity Index of .78 or more was obtained for 5 indicators, and the Inter-Rater Agreement result was .80 or more. The evaluation result was deemed reliable. 2) Validation results by detail : 22 questions was considered reliable, which is higher than .78 and experts determined that it was valid.Conclusion : Out of the 33 training tasks categorized into three levels of difficulty using the above method, we excluded 1 strategy with the Contents Validity Index of less than, 78, which was considered invalid by experts, and incorporated 22 improved strategies by reviewing additional expert opinions.

Authors

Publication Details

Journal
The Journal of the korean Military Medicine
Published
2025-06-30
DOI
https://doi.org/10.64416/jkmm.56.1.43
Primary Topic
Human Resource Development and Performance Evaluation
Type
article
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article

Development of an Optimized Model for Behavioral Training Task Education System

Shaozhuang Ma, Jinhyuk Lim, Mingon Kang, Eunju Kang et al.
The Journal of the korean Military Medicine
Human Resource Development and Performance Evaluation
article

Development of an Optimized Model for Behavioral Training Task Education System

Shaozhuang Ma, Jinhyuk Lim, Mingon Kang, Eunju Kang, Mihwa Lim, Sujung Lee, Doyeong Lee
article en

Abstract

Objective: This study aims to develop optimized behavioral training model for medical functional teams in the Republic of Korea Armed Forces. To this end, training tasks were first derived to support efficient specialty training in current medical units, followed by a comparative analysis with training models from other institutions. The model was then developed by apply the principles of situated learning theory.Method: This study analyzed the relevant references on behavior training tasks derived from Armed Forces Medical Readiness & Training using “Comparative Institutional Analysis,” a questionnaire was distributed to 10 military and non-military education and training experts.After reviewing the validity and reliability through the Contents Validity Index and Inter-Rater Agreement index, the optimization model reflecting them was proposed.Results : 1) Expert validation result : The Content Validity Index of .78 or more was obtained for 5 indicators, and the Inter-Rater Agreement result was .80 or more. The evaluation result was deemed reliable. 2) Validation results by detail : 22 questions was considered reliable, which is higher than .78 and experts determined that it was valid.Conclusion : Out of the 33 training tasks categorized into three levels of difficulty using the above method, we excluded 1 strategy with the Contents Validity Index of less than, 78, which was considered invalid by experts, and incorporated 22 improved strategies by reviewing additional expert opinions.

The Journal of the korean Military MedicineVol. 56(1)
Openalex Percentile: Top 80%
Human Resource Development and Performance Evaluation
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Development of an Optimized Model for Behavioral Training Task Education System — Shaozhuang Ma, Jinhyuk Lim, et al. · The Journal of the korean Military Medicine (2025) | TGRS Research Map | TGRS