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Showing 16 to 30 of 212 results Save | Export
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Fallahtafti, Sadeq; Ghanbaripirkashani, Nikzad; Alizadeh, Seyed Shahram; Rovoshi, Ramin Safiyari – International Journal of Developmental Science, 2020
Smartphone addiction among adolescents has become a major concern. The present study aims to investigate the psychometric properties of the Persian Smartphone Addiction Scale - Short Version (SAS-SV). A sample of 398 adolescents (52% girls and 48% boys) completed the SAS-SV, the Kutcher Adolescent Depression Scale (KADS), and the Young Internet…
Descriptors: Psychometrics, Handheld Devices, Addictive Behavior, Foreign Countries
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Erçok Güler, Sinem Can; Cengiz, Recep; Günay, Erkan – Journal of Educational Technology and Online Learning, 2023
The aim of this study is to examine the feeling of being stuck and phone addiction levels of student participants in Manisa Celal Bayar University Faculty of Sport Sciences. The study group of the research consists of 97 female and 193 male students from Manisa Celal Bayar University Faculty of Sport Sciences. Personal information form prepared by…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Addictive Behavior
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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
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Avci, Dilek; Gündogdu, Nurcan Akgül; Dönmez, Recep Hakan; Avci, Fikret Eren – Health Education Research, 2023
The group at the highest risk of smartphone addiction is adolescents. In particular during the coronavirus disease 2019 pandemic, factors such as conducting education online, curfew and the increase in the monotonous time spent at home have led to an increase in the use of smartphones among adolescents. Therefore, this study aimed to determine the…
Descriptors: Addictive Behavior, Telecommunications, Handheld Devices, Peer Teaching
Fathalla, Mohammed Mohammed – International Journal of Psycho-Educational Sciences, 2019
The purpose of this study is to evaluate the psychometric properties of the Egyptian translation of SAS-SV for adolescents. The SAS-SV (Kwon et al., 2013) is a 10 items with a 6-point Likert scale from 1 = strongly disagree, 6 = strongly agree. Total scores typically range from 10-60, with higher score indicating Problematic Smartphone Usage. Item…
Descriptors: Foreign Countries, Psychometrics, Telecommunications, Handheld Devices
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Serdar, Emrah; Demirel, Mehmet; Harmandar Demirel, Duygu; Kaya, Alper – Turkish Online Journal of Educational Technology - TOJET, 2022
The purpose of this study is to examine the relationship between leisure attitude and smartphone addiction of sports science students. Totally 320 student (140 women and 180 men) were participated the study. The sampling method of study is convenient sampling method. In addition to the personal information form, the "Leisure Attitude Scale…
Descriptors: Foreign Countries, Leisure Time, Telecommunications, Handheld Devices
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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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Çiçek, Ilhan; Tanriverdi, Selami; Sanli, Mehmet Emin; Bulus, Metin – International Journal of Psychology and Educational Studies, 2021
The aim of the study is to examine predictive effect of parental attitudes and socio-demographic variables (age, gender, time spent on smartphone, number of siblings, students' feeling social, and parental education level) in university students' addiction to smartphones. Participants included 670 university students whose age ranged between 18-30…
Descriptors: Parent Attitudes, Student Characteristics, Predictor Variables, Handheld Devices
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Repetto, Claudia; Di Natale, Anna Flavia; Villani, Daniela; Triberti, Stefano; Germagnoli, Serena; Riva, Giuseppe – Interactive Learning Environments, 2023
The large-scale diffusion of tablets and smartphones in the last decades offered new opportunities to broaden educational strategies. In particular, the Mobile-Assisted Language Learning (MALL) emerged as a promising approach leveraging the widespread availability of portable devices. In this study we investigated the feasibility and efficacy of a…
Descriptors: Video Technology, Technology Uses in Education, Use Studies, Instructional Effectiveness
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Aznar-Díaz, Inmaculada; Trujillo-Torres, Juan-Manuel; Alonso-García, Santiago; Rodríguez-Jiménez, Carmen – Research in Social Sciences and Technology, 2019
The development of mobile devices has affected the way of life of university students, affecting their daily habits and sometimes their health. Specifically, in recent years a series of illnesses have developed as a result of the constant use of smartphones by the university population, which has come to be catalogued as an at-risk population. The…
Descriptors: Handheld Devices, Addictive Behavior, College Students, Foreign Countries
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Yalçin, Ilimdar; Özkurt, Burhan; Özmaden, Murat; Yagmur, Rifat – International Journal of Psychology and Educational Studies, 2020
Smartphones provide users much more than a mobile phone. For this reason, smartphones have become very important in our lives. In this context, the aim of this study was to investigate the effect of smartphone addiction on loneliness levels and academic achievement of Z generation high school students. In 2018-2019 academic year' spring semester,…
Descriptors: Telecommunications, Handheld Devices, Academic Achievement, High School Students
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Kula, Hale; Ayhan, Cihan; Kaçay, Zülbiye; Soyer, Fikret – International Journal of Psychology and Educational Studies, 2020
The aim of this study was to investigate the relationship between smartphone addiction and life satisfaction of the students studying at faculty of sport sciences and to determine whether these parameters differ in terms of various variables. In the study, the Smartphone Addiction Scale developed by Kwon et al. (2013) and adapted to Turkish by…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Life Satisfaction
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Kaya, Sinan; Kaya, Mevlüt – International Journal of Psychology and Educational Studies, 2020
The purpose of this study is to examine the smartphone addiction levels among university students. For this purpose, first of all, students' addiction levels were determined, and then it was examined whether these levels differed according to the gender of the students, the purpose of using the internet on the smartphone, and the usage times of…
Descriptors: Handheld Devices, Addictive Behavior, College Students, Student Behavior
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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
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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
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