Factors influencing the adoption of E-learning in Tabriz University of Medical Sciences

Authors

  • Afsaneh Dehnad School of Health Management and Information Sciences, Iran University of Medical Sciences. Tehran, Iran.
  • Mohammadhiwa Abdekhoda Department of Medical Library and Information Sciences, School of Health Management and Medical Informatics, Tabriz Universi-ty of Medical Sciences, Tabriz, Iran, & Iranian Center of Excellence in Health Management (IceHM), School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Sayd Javad Ghazi Mirsaeed Department of Medical Library and Information Sciences, School of Health Management and Medical Informatics, Tehran Universi-ty of Medical Sciences, Tehran, Iran.
  • Vahide Zarea Gavgani Department of Medical Library and Information Sciences, School of Health Management and Medical Informatics, Tabriz Universi-ty of Medical Sciences, Tabriz, Iran.
Abstract:

Background: Electronic Learning (E-learning), is the use of electronic technology in education via computer and the internet. Despite its slow adoption by faculty members, e-learning provides several benefits to individuals and organizations. This study was conducted to determine the factors influencing the adoption of e-learning by faculty members in Tabriz University of Medical Sciences.    Methods: This was a cross- sectional study, in which a sample of 190 faculty members of Tabriz University of Medical Sciences was randomly selected, using stratified sampling. A Conceptual Path Model of Unified Theory of Acceptance and Use of Technology (UTAUT) was applied to assess the faculty members’ attitude towards e-learning. The collected data were analyzed by SPSS16, using descriptive statistics and regression analysis. The model was tested by structural equation modeling (SEM) and was finally represented by Analysis of Moment Structures.   Results: The results evidenced that UTAUT model explains about 56% of the variance for adoption of e-learning. The findings also revealed that performance expectancy, effort expectancy, social influences and behavior indentation had direct and significant effects on faculty members’ behavior towards the use of e-learning. However, facilitated condition had no significant effects on the use of e-learning.   Conclusion: The authorized model provides considerable insight for perception and anticipation of faculty members’ behaviors in adopting e-learning. The survey clearly identified significant and non-significant factors that may affect the adoption of e-learning.  The results of this study could help the policy makers when successful adoption of e-learning is in their agenda.

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Journal title

volume 30  issue 1

pages  1156- 1162

publication date 2016-01

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