AI Summary & Key Takeaways
AI InsightThere is a significant difference between pre-service teachers' smartphone addiction levels and their gender, age, economic status, place where they spend most of their lives, education level of parents, parental professions, grade averages, class levels, the number of books they read, and the time they spend on social media and the Internet.
📌 3 Key Takeaways
Özet
Öz This research aims to determine the smartphone addiction levels of Turkish pre-service teachers. In this study, a relational screening model, which is one of the quantitative research methods, was used. The study group consists of 178 pre-service teachers studying at a State University in the West of Turkey. Smartphone Addiction Scale adapted to Turkish by Demirci, Orhan, Demirdas, Akpınar and Sert (2014) were used in the research. Data analysis in the research was done through the SPSS 25 package program. Descriptive statistical analysis, t-test and ANOVA statistical analysis and correlation analysis were performed on the data obtained in the study. When the findings obtained from the research are examined, it is seen that the pre-service Turkish Teacher candidates use their smart phones more than they planned; female pre-service teachers' have higher smartphone addiction levels than male pre-service teachers'. There is a significant difference between pre-service teachers' smartphone addiction levels and their gender, age, economic status, place where they spend most of their lives, education level of parents, parental professions, grade averages, class levels, the number of books they read, and the time they spend on social media and the Internet.