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Zeynep Simsir-Gokalp; Muhammet Ibrahim Akyurek – Journal of Education in Science, Environment and Health, 2024
Failure to exercise self-control is one of the leading causes of substance and behavioral addictions. Problematic social media usage (PSMU), a type of behavioral addiction, has become an increasingly serious problem with a significant impact on the lives of individuals of all generations. Therefore, it is crucial to understand the underlying…
Descriptors: Self Control, Mass Media Use, Addictive Behavior, Correlation
Veli Ozan Cakir; Cagri Ilk; Cemal Guler – European Journal of Educational Sciences, 2023
This study aimed to investigate the level of social media addiction among university students. The sample group comprised a total of 238 participants, 56.7% of whom are female and 43.3% of whom are male, enrolled at Istanbul University-Cerrahpasa Faculty of Sports Sciences. The data were collected using a personal information form and the 5-point…
Descriptors: Social Media, Internet, College Students, Foreign Countries
Weiyi Sun; Miao Chao – Education and Information Technologies, 2024
The use of social media among students has gained significant attention due to its potential impact on academic performance, characterized by both positive and negative effects. However, limited research exists regarding the different types of excessive social media use and their influence on academic performance. In this innovative study, we aim…
Descriptors: Social Media, Mass Media Use, Academic Achievement, Time Management
Ni Gao; SunHee J. Eissenstat; Matthew DeMasi – Journal of American College Health, 2024
Objective: This one-year follow-up study examined the changes of impact of using social media among college students with disabilities from the initial survey. Participants: 193 students completed the follow-up survey of the 341 who agreed to participate. Methods: Paired t-test compared the changes in social media usage between the two surveys.…
Descriptors: Students with Disabilities, College Students, Social Media, Addictive Behavior
Alwaely, Suad Abdalkareem; Minnullina, Rosalia; Fedorova, Elena; Lazareva, Yuliya – Cogent Education, 2023
Not only children but also adults now spend much more time in front of the screen (computers, laptops, tablets, phones, TVs, Play Station, other game consoles, etc.) for various reasons: work, study, a lot of free time, communication, entertainment, information retrieval. The aim of this paper is to examine how the time spent in front of the…
Descriptors: Foreign Countries, Secondary School Students, Parents, Addictive Behavior
Heidi Kesanto-Jokipolvi; Piia Seppänen; Satu Koivuhovi; Mari Siipola; Reija Autio; Arja Rimpelä – Journal of School Health, 2024
Background: The origin of inequalities in health outcomes has been explained by health selection and social causation models. Health selection processes operate particularly at school age. We study, if student allocation to teaching groups with aptitude tests (selective vs general class) differentiates adolescents by health behaviors and mental…
Descriptors: Health Behavior, Mental Health, Aptitude Tests, Grouping (Instructional Purposes)
Nurul Asyiqin Jalil; Noor Hanim Harun; Rita Wong Mee Mee; Suzulaikha Mohamed; Lim Seong Pek; Tengku Shahrom Tengku Shahdan; Tirzah Zubeidah Zachariah Omar – International Journal of Technology in Education, 2025
The rapid growth of digital devices in recent years has caused significant effects on children's screen time. Advancements in technology usage have a particularly strong impact on children in an era dominated by digital advancements, influencing their education, entertainment, communication, and socialisation, raising concerns about the…
Descriptors: Parent Role, Child Behavior, Mass Media Use, Handheld Devices
Umar, Çigdem Nilüfer – Educational Policy Analysis and Strategic Research, 2023
The purpose of this research is to explain the effects of the qualitative results obtained from the data which is gathered from the interviews with gifted students and their parents regarding the screen use of gifted students between the ages of 12-18 on the potential screen addictions of gifted students. This study is mixed methods research. The…
Descriptors: Gifted, Academically Gifted, Parents, Pandemics
Juan Li; Jingyao Wang; Bowen Xiao; Yan Li; Hui Li – Early Education and Development, 2024
"Research Findings": The Problematic Media Use Measure (PMUM) assesses young children's excessive or problematic media use. The current study aims to translate the original English version of PMUM into a Chinese version and validate it with Chinese preschoolers (ages 3 to 6). The instrument was translated, back-translated, pretested, and…
Descriptors: Translation, Test Validity, Chinese, Measures (Individuals)
Buldu, Metehan; Tugçe-Karar, Elif; Özyurt, Müjgan – African Educational Research Journal, 2020
The aim of the current study is to investigate the use of screen in young children before and during the pandemic and the attitudes of mothers towards their children's screen-viewing time. To achieve this, 20 mothers who have children between 1.5 and 6 years-old included in the study. The design of this qualitative study is phenomenology to…
Descriptors: Young Children, COVID-19, Pandemics, Mother Attitudes
Yang, Xu-Hao; Yu, Hong-Jie; Liu, Ming-Wei; Zhang, Jie; Tang, Bo-Wen; Yuan, Shuai; Gasevic, Danijela; Paul, Kelly; Wang, Pei-Gang; He, Qi-Qiang – Journal of American College Health, 2020
Objective: This study aimed to assess the impact of a health education intervention on health behaviors, self-efficacy, and well-being among college students. Participants: Between March and October 2016, a total of 532 undergraduates participated. Methods: A theory-based intervention was conducted at Wuhan University, China. Participants were…
Descriptors: Foreign Countries, Health Education, Intervention, Health Behavior
Gezgin, Deniz Mertkan – Cypriot Journal of Educational Sciences, 2018
The aim of this study is to examine the relationship among smartphone addiction, fear of missing out (FoMO), excessive use of social networking sites (SNSs) on smartphones and sleep duration among high school students. The study group consists of 161 high school students from two state high schools in Turkey. Pearson correlation coefficient and…
Descriptors: Addictive Behavior, Handheld Devices, Correlation, Age Differences
Ellis, William F.; McAleer, Brenda; Szakas, Joseph S. – Information Systems Education Journal, 2015
The Internet's effect on society is growing exponentially. One only has to look at the growth of e-commerce, social media, wireless data access, and mobile devices to see how communication is changing. The need and desire for the Internet, especially in such disciplines as Computer Science or Computer Information Systems, pose a unique risk for…
Descriptors: Internet, Addictive Behavior, Risk, Educational Environment
Ilhan, Aziz; Çelik, H. Coskun; Gemcioglu, Muharrem; Çiftaslan, Malik Ejder – Turkish Online Journal of Educational Technology - TOJET, 2016
This study aims to determine internet attitudes and internet addiction levels of 13-18-year-old students and examine the relationship between these variables. The "internet attitude scale", developed by Tavsancil and Keser (2002) and the "internet addiction scale", developed by Hahn and Jerusalem and adapted into Turkish by…
Descriptors: Internet, Computer Attitudes, Addictive Behavior, Adolescent Attitudes
Tas, Ibrahim – Universal Journal of Educational Research, 2017
This research examined the relationship of Internet addiction and gaming addiction with school engagement and effects of Internet addiction and gaming addiction on school engagement. The research was conducted with 365 students (140, 38.4%, males; 225, 61.6%, females) studying at an Anatolian high school in Gaziantep province. Personal Information…
Descriptors: Adolescent Attitudes, Internet, Addictive Behavior, Games
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