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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
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Öztürk, Mücahit; Kerse, Gökhan – Education for Information, 2022
This study aims to determine the predictors of cyberloafing behaviors of university students. In this context, we examined the effects of smartphone and internet addiction variables on cyberloafing levels. Besides, the mediator effect of internet addiction was determined in the impact of smartphone addiction on cyberloafing. We conducted the…
Descriptors: Handheld Devices, Internet, Addictive Behavior, Predictor Variables
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Nuri, Cahit; Direktör, Cemaliye; Arnavut, Ahmet – World Journal on Educational Technology: Current Issues, 2021
The aim of this study is to research the mediational role of smartphone addiction on relationship between nomophobia and aggression level of university students. The data collected through the convenience samples over the Internet has reached a wider audience. The study group consisted of 307 university students. Smartphone Addiction Scale Short…
Descriptors: Handheld Devices, Addictive Behavior, Aggression, Fear
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Rahim, Nurul Ain Abd; Siah, Yih Huang; Tee, Xiang Yi; Siah, Poh Chua – International Journal of Technology in Education and Science, 2021
Studies found that smartphone addiction is relevant to the personality of smartphone users, especially the extroverts and introverts. However, the findings of the associations between extroverts/introverts and smartphone addiction are not consistent, and it is suggested that the inconsistency results can be relevant to the types of smartphone use.…
Descriptors: Handheld Devices, Addictive Behavior, Use Studies, Predictor Variables
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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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Baltaci, Önder – African Educational Research Journal, 2020
This research aims to investigate the problematic levels of internet usage and smartphone addiction as predictors of university students' happiness levels. The research was carried out using the relational screening method, which is among the quantitative research methods. The research study group consisted of 340 university students, in which 229…
Descriptors: Predictor Variables, College Students, Psychological Patterns, Internet
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Fook, Chan Yuen; Narusaman, Suthagar; Aziz, Norazah Abdul; Mustafa, Sharifah Muzlia Syed; Han, Cheong Tau – Malaysian Journal of Learning and Instruction, 2021
Purpose: Smartphones have become part and parcel of life in the 21st century. Since there has been limited research exploring the relationship between mobile addiction, interpersonal relationship, and academic behaviour among young adults in tertiary institutions, the present study has embarked on an exploration of the relationship between these…
Descriptors: Handheld Devices, Addictive Behavior, Interpersonal Relationship, Student Behavior
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Bilgiz, Sümeyye; Peker, Adem – International Journal of Progressive Education, 2021
The aim of this study is to examine the mediating role of the mindfullness in the relationship between the school burnout and problematic smart phone (PSU) and social media use (SMA). The participants of the research consists of 411 students studying in the high schools in the city centre Erzurum in Turkey in 2020. Research data were obtained…
Descriptors: Metacognition, Burnout, Addictive Behavior, Handheld Devices
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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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Johan, Zaimy Johana; Hafit, Nor Intan Adha; Tusyanah, Tusyanah – Asian Journal of University Education, 2021
Technology addiction has become an alarming disorder that has increasingly caught the attention of researchers, mental health counsellors and doctors. Unfortunately, those who are having the disorder do not realize that they are going through the phase of pleasurable, addictive experience of appealing themselves by long hours of social networking,…
Descriptors: Addictive Behavior, Foreign Countries, Undergraduate Students, Predictor Variables
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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
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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
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Karademir Coskun, Tugra; Kaya, Omer – International Journal of Research in Education and Science, 2020
This study focused on the effects of variables related to nomophobia levels of youths for adults; and exhibited a nomophobia profile of an adult by means of the significant variables about adults. Two hundred-ten adults from 30 different occupational groups participated in the research. The relational research design was used in the research. Data…
Descriptors: Predictor Variables, Fear, Handheld Devices, Adults
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Saritepeci, Mustafa – Education and Information Technologies, 2020
Cyberloafing is one of the phenomena that adversely affects the efficiency and productivity in learning and teaching activities in educational settings. Increased ICT (information and "communication technology") access status in educational environments and personal mobile devices lead to a wide range of cyberloafing behaviors of…
Descriptors: Predictor Variables, High School Students, Attention Control, Metacognition
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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
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