Students’ Attitudes Towards Learning, A Study on Their Academic Achievement and Internet Addiction


AĞIR M.

World Journal of Education, cilt.9, ss.109, 2019 (Diğer Kurumların Hakemli Dergileri)

  • Cilt numarası: 9 Konu: 4
  • Basım Tarihi: 2019
  • Doi Numarası: 10.5430/wje.v9n4p109
  • Dergi Adı: World Journal of Education
  • Sayfa Sayıları: ss.109

Özet

Examining attitudes of students towards learning, their academic achievements and internet addictions is the main
focus of this study. With the institution permission obtained from the Provincial Directorate of National Education of
İstanbul Governorship dated: 21.04.2016 and No: 59090411-20-E.4519158, a descriptive study in relational
screening model was conducted. By evaluating the data of 355 students (158 male and 176 female), from 370
students studying in the 9th, 10th, and 11th grades attending public high schools in the region of Kadıköy, İstanbul
during 2015-2016 academic year the outcome results were obtained. "Personal Information Form", "Attitudes
Towards Learning" and “Computer Addiction for Adolescents” scales were used in order to collect research data. By
analyzing the data with t test, one-way variance analysis (ANOVA) and correlation statistical research techniques in
the SPSS 22.0 program, findings were obtained. A significance level of 0.05 was taken as the basis in the applied
statistics. As per the findings, a difference was found in terms of internet addiction according to gender, academic
achievement, homework habits, family activity frequency variables. Furthermore, a negative relationship was found
according to the correlation analysis result between students' attitudes towards learning and internet addiction. In
conclusion, in the light of the the research findings, it is possible to express that differentiation of students' attitudes
towards learning can support effective and efficient use of information technologies. However, the negative
differentiation of the attitudes towards learning can generate Internet addiction as a result of inefficient use of the information technologies.