@article{2017,title={DETERMİNATİON OF ACADEMİC SUCCESS PREDİCTİON POWER OF GAME ACHİEVEMENT AND THE CORRELATİONS BETWEEN ACADEMİC ACHİEVEMENT AND GAME SUCCESS İN GAMİFİCATİON BASED MOBİLE APPLİCATİON},abstractNode={In this study, it was aimed to determine whether Çukurova University Adana Vocational School of Higher Education Computer Programming students who participated in mobile-based games application is a predictor of the midterm success of the students' total level scores and the level and direction of correlation of them. It is also examined whether there is a difference in terms of gender. For this purpose, answers were searched for the following questions: 1) What is the direction and level of the correlation between the level scores the students take from the application and the academic achievement scores they take from the midterm exam? 2) What is the power to predict the success of the midterm examination of the level scores students get from application? 3) Does the midterm examination success of the level scores the students get from application vary according to the gender? This research is a descriptive survey study, which aims to reveal the level scores were got by the students who participated in the mobile-based gamification application to the prediction power of their midterm exam results and the level and direction of correlation of them. The participants of this research include 32 freshman undergraduate students who are enrolled Computer Hardware course at Çukurova University Adana Vocational School of Higher Education Computer Programming. The data have been collected with Demographic Questionnaire and Academic Success Test. Statistical analysis were performed after demographic variable grouping. Then, the correlation between the level scores and the midterm scores in general direction of the research was examined by using correlation analysis techniques. According to the sample data in the study group, there was no significant linear relationship between midterm achievement grades and positive correlation level at very low level. If the linear relationship is not significant, the model is considered to be inadequate and the model is linearized by mathematical transformations. When the logarithmic transformation was applied to the variables in the study, we obtained the significance level p = 0.012. So we arrived at a non-linear relationship between the variables. As a result, it was determined that there is a nonlinear relationship between the variables. In the next step, the relationship between the predictor variable and the predicted variable was examined using regression analysis techniques. The result is that the predictor variable predicts the predicted variable according to linearized regression model.},author={Yılmaz KOÇAK-- Mesut ÖZONUR - Mehmet İsmail SOLMAZ - Ali Kemal UĞUR - Şükrü Çetin İLİN},year={2017},journal={The Journal of Social Sciences}}