Entirely 1325 students participated in this research that was conducted to specify the differences between motivation levels of students in terms of age, gender, class and department variables. 'Academic Motivation Scale' that is seven points Likert scale was developed by Karaguven (2012) was used as the data collection tool in this research that was performed by screening model. Descriptive analyses were applied in data T-test was applied in independent groups to determine whether there were differences based on gender and age ranges. One Way ANOVA Test was conducted to specify the differences based on classes and departments. There was found statistically significant differences (p<0,01) between academic motivation sub-dimensions were evaluated based on age range, gender, classes and departments. It is thought that associating these differences with different variables will be beneficial to determine the sources of the differences. Because there are several internal and external factors that positively and negatively affect the motivation level. Eliminating problems by founding the factors can contribute to increasing the motivation level of students and accordingly, the success rate increases as well.