AI Summary & Key Takeaways
AI InsightThe findings of the study have been discussed alongside the findings stated in the current literature, and suggestions have been presented.
📌 3 Key Takeaways
Abstract
The aim of this study was to examine the relationship between high school students’ smartphone addiction levels and their (a) gender, (b) self-regulation, (c) academic procrastination, and (d) the frequency of checking their smartphones during study hours. The study group consisted of 514 high school students attending private and public schools in Turkey. Pearson’s correlation coefficient and stepwise multiple regression were the statistical methods used in the study, which was based on a predictive correlational design. The findings of the study indicate that there is a statistically significant, moderate level of positive correlation between smartphone addiction and the lack of self-regulation, the tendency toward academic procrastination, and the frequency of checking one’s smartphone during study hours. A significant weak-level negative correlation was found between smartphone addiction and successful self-regulation. In addition, the predictors of high school students’ smartphone addiction were determined to be (a) gender, (b) self-regulatory failure, (c) academic procrastination, and (d) frequency of checking smartphone during study hours. Finally, it was determined that the strongest predictor of high school students’ smartphone addiction was self-regulatory failure. The findings of the study have been discussed alongside the findings stated in the current literature, and suggestions have been presented.