- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
This study aimed to verify whether achieving a distinctive academic performance is unlikely for students at high risk of smartphone addiction. Additionally, it verified whether this phenomenon was equally applicable to male and female students. After implementing systematic random sampling, 293 university students participated by completing an online survey questionnaire posted on the university's student information system. The survey questionnaire collected demographic information and responses to the Smartphone Addiction Scale-Short Version (SAS-SV) items. The results showed that male and female university students were equally susceptible to smartphone addiction. Additionally, male and female university students were equal in achieving cumulative GPAs with distinction or higher within the same levels of smartphone addiction. Furthermore, undergraduate students who were at a high risk of smartphone addiction were less likely to achieve cumulative GPAs of distinction or higher.
Our study is unique in that it addressed gender differences in relation to smartphone addiction and usage with a sample that included university students. It revealed that male and female university students are equally susceptible to smartphone addiction. This result supports a study that showed no gender difference in SAS-SV scores in a sample of adults whose ages ranged between 18 and 53 years and who were selected from companies and universities in South Korea (Kwon, Lee, et al., 2013). As for the percentage of students at high risk of smartphone addiction (44.6%; 22.1% males and 22.5% females), this result is considered alarming (see Table 1). What is reassuring is that both genders within the with distinction cohort tend to be at a low risk of smartphone addiction, with equal distance from their respective cutoffs. However, the no distinction cohort tends to be at a high risk of smartphone addiction, and the females demonstrated higher risk than did their male counterparts. Nevertheless, though females were at higher risk of smartphone addiction than males in the no distinction cohort, they (females) also had, on average, higher GPAs (see Table 4).