H. Rabiei - Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran
M. Barati - Autism Spectrum Disorders Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
E. Ayubi - Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
Sh. Borzouei - Department of Internal Medicine, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran

Aims: Determining the effective factors in the use of e-learning among students can be useful in providing appropriate and practical solutions to increase the use of e-learning. Therefore, this study aimed to determine the factors related to the behavior of using e-learning among medical university students using the technology acceptance model (TAM) as a conceptual framework. Instrument & Methods: This cross-sectional study was conducted among ۴۲۵ students of Hamadan University of Medical Sciences who were selected by stratified random sampling. The data collection tools included a questionnaire, including demographic data and TAM constructs. The data were analyzed in SPSS ۲۳ software using one-way analysis of variance, independent t-test, Pearson correlation coefficient, and linear regression analysis. Findings: The age range of participants was between ۱۸ and ۵۴ years with an average age of ۲۴.۲±۳.۹۶ years. The history of participating in e-learning classes was significantly related to all the constructs of the TAM (p<۰.۰۵). Also, undergraduate and graduate students had a significantly more positive attitude, higher perceived usefulness, and more usage intention and behavior concerning e-learning than professional doctorate students (p<۰.۰۵). Attitude (β=۰.۳۹۴), perceived usefulness (β=۰.۳۱۳), and external variables (β=۰.۱۹۶) were respectively the strongest predictors of intention to use e-learning (p<۰.۰۵). The intention of e-learning usage directly and significantly predicted the behavior of using it (β=۰.۴۸۳, p<۰.۰۵). Conclusion: The TAM constructs predict the behavior of using e-learning among students.

Education, Distance, Educational Technology, Education, Medical, Behavior