Sixteenth International Conference on Technology, Knowledge & Society

Abstract

With the popularity of the smartphone use in recent years, smartphone addiction (SA) has caused obvious academic, social, and healthy issues in users’ life and therefore attracts worldwide researchers’ attention. However, its risk factors and its impact on students’ academic achievement are still much unknown. This study aims to explore the demographic risk factors of SA and the impact of SA on college students’ academic achievement with logistic regression analyses. A total of 482 college students were surveyed using the demographic and social-economic questionnaire and the Smartphone Addiction Scale-Short Version (SAS-SV), and their GPA were obtained from register’s office with their consent. The demographic factors included in this study were age, grade, major, family income, mothers’ education, fathers’ education. Based on a cut-off value of 31 for the male and 33 for the female, students’ SAS-SV scores were transformed to either low or high risk level, and their GPA scores were transformed to either distinction or no distinction level based on a cut-off value of 3.5. After preliminary univariate analyses and two logistic analyses, it was found that gender and grade were two risk factors for SA and that college students’ SA level and gender were two significant predictors of their GPA level.