Factors influencing the use of e-learning in Shahid Sadoughi University of Medical Sciences according to interpretative structural model

Mazloom ardekani, mahnaz; mansoori, sirus; okhovat, ali mohammad

doi:10.18502/jmed.v13i3.335

Volume 13, Issue 3 (aAutumn 2018) jmed 2018, 13(3): 194-208 | Back to browse issues page

‎ 10.18502/jmed.v13i3.335

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Mazloom ardekani M, mansoori S, okhovat A M. Factors influencing the use of e-learning in Shahid Sadoughi University of Medical Sciences according to interpretative structural model. jmed 2018; 13 (3) :194-208
URL: http://jmed.ssu.ac.ir/article-1-834-en.html

Factors influencing the use of e-learning in Shahid Sadoughi University of Medical Sciences according to interpretative structural model

Mahnaz Mazloom ardekani

, Sirus Mansoori ^*

, Ali mohammad Okhovat

Assistant Professor, Department of Educational sciences, Islamic Azad University, Ardakan Branch, Ardakan, Iran. , smansoori06@gmail.com

Abstract: (4923 Views)

Introduction: This study aimstoscore the factors affecting the use of e-learning in Shahid Sadoughi University of Medical Sciences according to the interpretive structural model.

Methods: Interpretative structural model was used to categorize and score factors affecting e learning. The participants were faculty members of Shahid Sadoughi. University of Medical sciences. 11 faculty members were selected randomly and filled a questionnaire.The data collection tool was a self-interactive questionnaire (ISM) and content validity was confirmed by medical education specialists.

Result: overall 15 factors are considered as factors affecting the use of e-learning in Shahid Sadoughi. University of Medical Sciences. Also, factor analysis showed that this model has 9 levels that are determined from the deepest and most influential level to the most surface and effective level of effective implementation of electronic learning in the model.

Conclusion: Regarding the identification of 15 factors and determining the level of importance and their impact on the use of e-learning in the medical sciences university, policymakers and managers of medical universities should be encouraged to facilitate these factors.

Keywords: E-learning, Medical education, Interpretive Structural Modeling

Keywords: E-learning, Medical education, Interpretive Structural Modeling

Full-Text [PDF 834 kb] (3010 Downloads)

Type of Study: Research | Subject: Medical Education
Received: 2017/09/23 | Accepted: 2018/04/11 | Published: 2018/12/17