Validation of a Multidimensional E-Learning Quality Model for Clinical Military Medical Training.

Introduction: The present study was conducted to design a quality management model for e-learning in the clinical groups of military medical universities. Methods: This research is an exploratory mixed-methods design in terms of data type. The statistical population in the qualitative section consis...

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Detalles Bibliográficos
Publicado en:International Journal of Travel Medicine & Global Health Vol. 13; no. 4; pp. 276 - 288
Autores principales: BeneKoh, Leila Vosoug, Kebria, Baharak Shirzad, Hamidifar, Fatemeh, Khorshidi, Abbas
Formato: research tables/charts Journal Article
Publicado: Tarbiat Modares University Press Dec2025
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Introduction: The present study was conducted to design a quality management model for e-learning in the clinical groups of military medical universities. Methods: This research is an exploratory mixed-methods design in terms of data type. The statistical population in the qualitative section consisted of experts and university professors experienced in the field of clinical e-learning, selected using purposive sampling of the theoretical type until theoretical saturation was achieved, resulting in 19 individuals being selected. In the quantitative part, there were 381 individuals, of whom 191 were selected using stratified random sampling. The data collection tool in the quantitative phase was a researcher-made questionnaire, which was developed by weighting the indicators derived from the qualitative section. Results: The validated model comprises five key dimensions: Standards (prioritizing instructor competence), Planning (emphasizing resource management), Information Technology (focusing on system design), Continuous Quality Improvement (centered on quality control), and Evaluation (stressing internal assessment). All dimensions demonstrated strong reliability (α=0.784-0.983) and validity (AVE>0.50), with excellent model fit (SRMR=0.065, NFI=0.954). The Standard dimension ranked highest in importance, followed by Planning, IT, CQI, and Evaluation. Structural analysis confirmed significant factor loadings (0.755-0.963, p<0.001) across all components. This comprehensive framework effectively addresses the unique e-learning quality needs of military medical education. Conclusion: This model offers a customized framework for managing e-learning quality in clinical groups at military medical universities. Structural equation modeling confirmed the model's fit, with each indicator playing a significant role in the overall model. This framework not only supports quality improvement in military clinical e-learning but also presents innovative quality management strategies tailored for medical and combat medicine training.