Designing an Adjusted Model for Evaluating Electronic LearningStrategies’ Efficiency on Students’ Academic Achievement

The main purpose of this research was to examine the model of evaluating efficiency of electronic learning strategies on students’ academic achievement. The methodology of research was correlation. Statistical community included all of the virtual universities’ students of Iran in 1390-91. The statistical sample was randomly selected (n=363). The data were gathered by three questionnaires (efficiency electronic learning strategies) ، = (0.94), α (academic interest) ، (α= 0.92) and comparing students’ score mean for two semesters. The validity of questionnaires has been prepared by specialist. The fundamental theory of this research was research community model of picciano and predicted that students cooperated with each other by social, teaching and cognitive presence and at last this cooperation results in their progress. The total results indicated that there was relationship between electronic learning strategies based on cognitive presence, social presence, teaching presence and students’ academic achievement. They have direct effects of the variables, such as cognitive presence (0.789), social presence (0.078), and teaching presence (0.695). The CFA shows that the measurement model fit the data very well with a goodness of fit index (AGFI) of 0.91 and adjusted goodness of fit index (GFI) of 0.95, RMSEA (0.214).