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...
| Publicado en: | International Journal of Travel Medicine & Global Health Vol. 13; no. 4; pp. 276 - 288 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Tarbiat Modares University Press
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190926596&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190926596 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23221100 FUA0 jtl: International Journal of Travel Medicine & Global Health issn: 23221100 maglogo: N pubinfo: dt: Dec2025 vid: 13 iid: 4 pid: 93586 pub: Tarbiat Modares University Press artinfo: ui: 190926596 190926596 190926596 10.30491/ijtmgh.2025.537439.1500 190926596 ppf: 276 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Validation of a Multidimensional E-Learning Quality Model for Clinical Military Medical Training. aug: au: BeneKoh, Leila Vosoug Kebria, Baharak Shirzad Hamidifar, Fatemeh Khorshidi, Abbas affil: PhD student, Department of Educational Governance and Human Capital, CT.C., Islamic Azad University, Tehran, Iran sug: subj: Military Medicine Education Education, Medical Education, Non-Traditional Quality Assurance Models, Educational Colleges and Universities Human Female Male Validation Studies Exploratory Research Multimethod Studies Descriptive Statistics Faculty Stratified Random Sample Questionnaires Clinical Competence Standards Information Technology Quality Improvement Reliability and Validity Quality Management, Organizational Semi-Structured Interview Purposive Sample Summated Rating Scaling Data Analysis Software Face Validity Content Validity Construct Validity Criterion-Related Validity Discriminant Validity Coefficient alpha Confidence Intervals Friedman Test Female Male ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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