Assessing Factors Affecting the Tendancy to Use Electronic Learning Systems among Faculty Members
Interdisciplinary Journal of Virtual Learning in Medical Sciences: September 30, 2012, 2 (3); e58880
September 20, 2012
Article Type: Research Article
July 27, 2017
September 20, 2012
N , Mehdinezhad
V , Omoee Milan Ghashghagh
M . Assessing Factors Affecting the Tendancy to Use Electronic Learning Systems among Faculty Members,
Interdiscip J Virtual Learn Med Sci.
Background: We aimed to determine the factors that are influential in creating a tendency in faculty members to use electronic learning systems. Among these factors we assessed resistance to change, perceived value, computer self-efficiency, and positive attitude towards electronic learning systems.
305 faculty members teaching at Sistan and Balouchestan University, Iran, during 2008-2009 were enrolled in our study. Among all participants 171 faculty members were randomly selected to participate in the study. The data collection tool was a researcher-made questionnaire based on Ferdousi's questionnaire (2009). Also, the single variable t test and analysis of variance (ANOVA) were used as appropriated.
Material & Methods:
Results: All the assessed variables were effective in creating a tendency for electronic learning, among which resistance to change and attitude towards electronic learning systems had the most and least effect on the lack of tendency, respectively. Based on moderating variables, sex, age, and duration of teaching did not have a significant effect. Only the academic rank of faculty members was significantly effective in their attitude towards electronic learning sytems.
Conclusion: Inservice training for faculty members plays an important role in enhancing their knowledge and function of using information technology, especially the electronic learning system. Designing virtual training and learning systems as part of the higer education program could improve the knowledge of faculty members in this regard.
Electronic learning systems; attitude towards learning systems; perceived value; computer self-efficiency; resistance to change; faculty members;
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