Examination the relationship between teacher candidates' social media addiction and academic performance

The aim of this study was to investigate the relationship between social media dependencies of teacher candidates and academic procrastination behaviors. In addition, the differentiation of teacher candidates' social media dependencies and academic procrastination behaviors in terms of various variables were also examined. The sample of the study consisted of 8 different departments and four class from Aksaray University in the 2018-2019 academic year and 1006 teacher candidates at different grades. In order to collect data; Personal Information Form developed by the researcher, l Social Media Addiction Scale "developed by Tutgun Ünal and Deniz (2015) and" Academic Procrastination Scale developed by Çakıcı (2003) were used. The analysis of the obtained data was analyzed in SPSS 21.0 I program. As a result of the research; It has been determined that the social media dependency level of teacher candidates is low level-dependent and academic procrastination level is above medium level. In addition, in the research, it was determined that there were differences between the social media addiction and academic procrastination behaviors of the prospective teachers. For example; social media dependencies of teacher candidates; differences were found in terms of meaning with variables such as the department they studied, family income status, father education status, year of use of social media, daily time spent on social media and daily time spent on the internet. In addition, the level of academic procrastination of teacher candidates; There were significant differences in terms of meaning in terms of the variables they have studied, daily time spent on social media and daily time spent on internet It is hoped that the research results will contribute to the literature on social media addiction and academic procrastination and will guide the researchers. Science Code: Keywords: Social media addiction, academic procrastination, teacher candidates Thesis Advisor: Faculty Member. Hatice GEDİK August-2019, 120 pages