Use of Adoption Technology Model to Predicting E-Learning Intention Perform among Faculty Members

Background: E-Learning could increase efficiency teaching process and higher quality of education. The aim of this study was to determine the factors related to eLearning intention based on the Adoption Technology Model (ATM). Methods: This cross-sectional study, conducted among 150 faculty members of Kermanshah University of medical science. Participants were randomly selected to participate voluntarily in the study and filled out a self-administered questionnaire. Data were analyzed by SPSS-21 using appropriate statistical tests including t-test, ANOVA, Pearson correlation and linear regression at 95% significant level. Results: The ATM predictor variables, accounted for 46% of the variation in the outcome measure of the eLearning intention. Furthermore, eLearning intention have a correlation with attitude (r=0.464), perceived ease of use (r=0.353) and external variables (r=0.308). Conclusions: Based on our findings, it seems that in designing intervention for encouraging faculty members to E- Learning teaching should be more attention to attitude, perceived ease of use, and external variables.