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Wuyou Sui; Anna Sui; Joseph Munn; Jennifer D. Irwin – Journal of American College Health, 2024
Background: This study aimed to: (a) explore differences in the prevalence of nomophobia and smartphone addiction (SA) from pre- to during COVID-19; (b) identify students' self-reported changes in smartphone reliance and screen time during COVID-19; and (c) examine whether self-perceived changes in smartphone usage predicted nomophobia and SA…
Descriptors: Telecommunications, Handheld Devices, Anxiety, Addictive Behavior
Erdem, Cahit; Uzun, Ahmet Murat – Technology, Knowledge and Learning, 2022
This study aimed to assess the association of smartphone addiction with domains of the big five personality traits (i.e., extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience) after controlling for individual differences such as age, gender, and amount of daily smartphone and internet use. The study employed a…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Personality Traits
Akinci, Tuncay – International Journal of Progressive Education, 2021
In this study, the relationship between problematic smartphone use, self-regulation, academic procrastination and academic stress among university students was examined. The theoretical model constructed to explain the predictive relationships between variables was tested using path analysis. Research data was collected from a sample of 632…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Self Management
Akkus Çutuk, Zeynep – Malaysian Online Journal of Educational Technology, 2021
The present study aimed at testing a model developed to uncover the relationships among social media addiction, cognitive absorption, and self-esteem. This study's sample consisted of 361 university students, 198 of whom were females, and 163 were males. Data were collected using the Social Media Addiction Scale (SMAS), the Cognitive Absorption…
Descriptors: Social Media, Addictive Behavior, Handheld Devices, Telecommunications
Kiva Spiratos; Paul Ratanasiripong – Journal of School Administration Research and Development, 2023
The world currently has more than three billion smartphone users. The smartphone is fully integrated into the daily life of individuals, including 95% of American teenagers. Excessive use of the smartphone leads to smartphone addiction and problematic smartphone use (PSU) which has been associated with depression, stress, reduced self-esteem, and…
Descriptors: High School Students, Telecommunications, Handheld Devices, Student Attitudes
Predictive Relationships among Smartphone Addiction, Fear of Missing out and Interaction Anxiousness
Buyukbayraktar, Cagla Girgin – European Journal of Educational Sciences, 2020
The aim of this study is to reveal the predictive relationships among smartphone addiction, fear of missing out (FOMO) and interaction anxiousness in university students. The study group of the research consists of 610 university students, 325 (53.3%) females and 285 (46.7%) males that were studying in Konya Turkey. In order to collect the data…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Interaction
Sakiroglu, Mehmet – International Journal of Curriculum and Instructional Studies, 2019
The use of smart phones is quite common among young people. This may sometimes cause problems. Different steps are being taken in the schools regarding the rules that students should follow for the use of telephone. However, student-oriented solutions are needed. The main aim of this study is to reveal the role of self-control, difficulties in…
Descriptors: Telecommunications, Handheld Devices, Self Control, Emotional Response
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
Yildiz Vatansever, Esra; Baltaci, Sehnaz – International Online Journal of Education and Teaching, 2022
Nomophobia, a type of technological addiction defined as the fear of being deprived of a smartphone, is quite prevalent in young individuals with the widespread use of mobile phones. This study aims to determine the nomophobia level of secondary school 8th-grade students. The effect of nomophobia on academic achievement was investigated by…
Descriptors: Telecommunications, Handheld Devices, Fear, Addictive Behavior
Shaibani, Mariam Hejab Al – Psycho-Educational Research Reviews, 2020
This study aims to determine the prevalence of social networking addiction among Saudi university students and its association with demographic variables. It also aims to assess students' perceptions of the benefits of social media and explore the relationship between social media usage and students' preferred social networking platform. Method:…
Descriptors: Incidence, Addictive Behavior, Social Networks, Social Media
Yildirim, Selami; Ayas, Tuncay – International Journal of Psychology and Educational Studies, 2020
Aim of this research is to examine the relationship between adolescents' subjective well-being and parenting style and smartphone addiction by several variables. The research population was composed of high school students studying in Kocaeli province in the academic year of 2017-2018. The sample was composed of 671 adolescents attending 6…
Descriptors: Adolescents, Well Being, Parenting Styles, Handheld Devices
Ali Eissa Saad, Mourad – Online Submission, 2020
This study aimed to investigate the combined effects of Self-Regulated Learning (SRL) and Academic Procrastination (AP) on Smartphone Addiction (SA). It also aimed at investigating the relative contribution of SRL and academic procrastination to SA among second year-middle school learning disabled students. Moreover, it sought to explore if there…
Descriptors: Middle School Students, Learning Disabilities, Metacognition, Addictive Behavior
Soyer, Fikret – International Journal of Psychology and Educational Studies, 2019
The aim of this study was to investigate the leisure constraints perceived by the university students according to the level of smartphone addiction. In the study, in order to determine the constraints faced by the participants Leisure Constraints Scale developed by Alexandris and Carroll (1997), adapted to Turkish by Gürbüz, Öncü, and Emir (2012)…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Leisure Time
Ramazanoglu, Mehmet – World Journal of Education, 2020
The purpose of this study is to examine the relationships between high school students' internet addiction, social media usage disorder, and smartphone addiction. The descriptive relational scanning model, one of the quantitative research methods, was used to determine this relationship. The research was carried out with 215 students who continue…
Descriptors: Correlation, High School Students, Internet, Addictive Behavior
Kumcagiz, Hatice – Technology, Knowledge and Learning, 2019
The aim of the present study was to investigate quality of life (QL) as a predictor of smartphone addiction risk among Turkish adolescents. In line with this purpose, a total of 352 high school students (153 males and 199 females) completed the Pediatric Quality of Life Inventory and a Smartphone Addiction Scale during the 2015-2016 academic year.…
Descriptors: Predictor Variables, Risk, Addictive Behavior, Telecommunications
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