PREDICTIVE RELATIONSHIPS RELATED TO THE LEVELS OF CYBERLOAFING IN THE EDUCATIONAL SETTINGS AND GAME ADDICTION OF UNIVERSITY STUDENTS

Abstract

This study defined the relationship between university students’ game addiction levels and cyberloafing behavior in educational settings with resilience and various variables. In this study, we used a prediction design -a correlational research model- to determine the relationship between the demographic characteristics of university students’ cyberloafing behavior in educational settings and their level of game addiction, ICT usage habits, and resilience. The data collected with the participation of 472 university students, 325 females and 147 males, were analyzed. According to the results, all six models created about game addiction are meaningful. The prominent variables in these models are daily playing time, gender, and gaming cyberloafing. Three of the four models created related to social and gaming cyberloafing are significant. The noticeable variables in social and gaming cyberloafing models are game addiction and gender. The models related to academic cyberloafing are not significant. This study contributes to the nomological network in the relevant field by projecting the relationships between cyberloafing, gaming addiction, and resilience in educational settings.