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Tugba Kamali Arslantas; Muhammed Emre Yaylaci; Mehmet Özkaya – E-Learning and Digital Media, 2024
The current study aims to examine the association between digital literacy (DL), Internet addiction (IA) and cyberloafing (CL) levels of higher education students in Turkey. In addition, the study examined the correlation between "daily Internet use," "initial Internet usage," and "purpose of Internet use" with the…
Descriptors: Addictive Behavior, Technological Literacy, Internet, College Students
Fatma Kurker; Abdullah Surucu – Psychology in the Schools, 2024
Academic procrastination is the failure to perform academic tasks on time or not doing at all. It can cause undesirable consequences for students' academic development and mental health. It has a complex structure that includes cognitive and emotional components in addition to its behavioral dimension. This study seeks to answer whether social…
Descriptors: Addictive Behavior, Social Media, Time Management, Student Behavior
Kayla Haweny; Erika I. Sodeika; Sasha B. Monaco; Morgan Botknecht; Martin Heesacker – Journal of Information Technology Education: Research, 2025
Aim/Purpose: The aim of this paper is to evaluate whether the use of social media by college students is linked with diminished academic productivity, and if so, why? Background: In prior research, social media use was inversely related to academic productivity. We replicated that effect and tested whether depletion sensitivity, delay discounting,…
Descriptors: Social Media, Addictive Behavior, Productivity, Academic Achievement
Bassam Hamam; Sanaa Khandaqji; Samer Sakr; Ali Ghaddar – Journal of American College Health, 2024
Objective: This study aims to assess addiction to social media among university students and to explore the association of addiction to social media with academic performance. Methods: A random sample of 997 university students filled in a self-administered questionnaire using Google form (response rate 81%). The questionnaire adopted a validated…
Descriptors: Social Media, Addictive Behavior, Health Behavior, Academic Achievement
Wang, Qian; Liu, Yujie; Wang, Baohong; An, Yang; Wang, Haolin; Zhang, Yaya; Mati, Komi – Journal of American College Health, 2022
Objective: Poor subjective sleep quality (SSQ) and problematic Internet use (PIU) were common among college students in China, but their prevalence and interconnections were understudied. Participants: 1040 college students (60.0% females), ranging in age from 16 to 26 (mean = 20.32; SD = 1.43). Methods: Participants completed a survey assessing…
Descriptors: Internet, Sleep, Behavior Problems, Addictive Behavior
Bilal Kaya – British Journal of Guidance & Counselling, 2024
Smartphone addiction adversely affects adolescent psychological wellbeing. However, little is known about the role of academic procrastination and school burnout in this relationship. The main objective of the current study was to examine the associations between smartphone addiction and psychological wellbeing, a multiple mediation analysis that…
Descriptors: Addictive Behavior, Handheld Devices, Burnout, Time Management
Cengiz, Recep; Er, Batuhan – Journal of Educational Issues, 2021
The aim of this study is to examine the relationship between university students free time management, social media addiction and life satisfaction during the COVID-19 pandemic. The sample group of the study consists of 114 female and 291 male university students. Free Time Management Scale, Social Media Addiction Scale and Life Satisfaction Scale…
Descriptors: College Students, Time Management, Leisure Time, Social Media
Gezgin, Deniz Mertkan; Mihci, Can; Gedik, Sinem – Journal of Education in Science, Environment and Health, 2021
The purpose of this study is to investigate the effect of free time management skills upon smartphone addiction risk in university students. The study follows a relational screening model of research and makes use of descriptive analyses alongside correlation and stepwise regression statistical methods. The study group consists of 591 university…
Descriptors: Time Management, Addictive Behavior, Handheld Devices, Telecommunications
Eissa, Mourad Ali; Khalifa, Ayman Gamal – Electronic Journal of Research in Educational Psychology, 2020
Introduction: Inability to self-regulate learning is likely to be an indication of internet/mobile phone use. When students have low self-regulation, this may negatively predict problematic smartphone use. Additionally, problematic smartphone use could be a predictor of academic procrastination. The aim of this study was to investigate the…
Descriptors: Correlation, Self Management, Student Behavior, Predictor Variables
Yesilyurt, Ferahim; Solpuk Turhan, Nihan – Cypriot Journal of Educational Sciences, 2020
There are many different debates regarding the time spent on Instagram by social media addiction and life satisfaction. In consequence, in this research, it is aimed to reveal the variables that predict the time spent on Instagram by university students. The research is done in accordance with the causal and correlation model by using a…
Descriptors: Prediction, Life Satisfaction, Social Media, College Students
Turel, Yalin Kiliç; Dokumaci, Özlem – Participatory Educational Research, 2022
In today's learning society, use of media and technology affects students in all educational levels. There are a number of studies conducted among university students in this context. However, adolescents, who are sensitively exposed to the negative effects of the excessive use of media and technology, have been neglected. The aim of this study is…
Descriptors: Academic Achievement, Adolescents, Middle School Students, High School Students
Kolan, Halil Ibrahim; Dinçer, Beste – Psycho-Educational Research Reviews, 2021
The aim of the study is to determine the relationship between problematic internet use and learning responsibilities of students studying at different types of high schools in the province of Aydin and also to examine whether problematic internet usage and learning responsibilities of high school students differ significantly according to gender…
Descriptors: Internet, Computer Use, Handheld Devices, Telecommunications
Göldag, Battal – International Education Studies, 2020
The aim of this study is to investigate the relationship between digital game dependence levels and violence tendency levels of high school students. In the present research, relational survey model has been used. The population of the study consists of 9th, 10th, 11th grade students in the high schools in Battalgazi and Yesilyurt districts of…
Descriptors: High School Students, Correlation, Computer Games, Addictive Behavior
Geçgel, Hulusi – Journal of Language and Linguistic Studies, 2020
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…
Descriptors: Handheld Devices, Telecommunications, Addictive Behavior, Social Media
Kanat, Sevtap – International Education Studies, 2019
Today, with the developing technology, the use of computers, mobile phones and the internet has become indispensable tools of people's lives. Technology has created new risks while facilitating the living conditions. Especially, there are various addiction concepts that negatively affect human life. Digital game addiction has been added to the…
Descriptors: Computer Games, Addictive Behavior, Correlation, Communication Skills
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