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Showing 1 to 15 of 20 results Save | Export
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Norazha Paiman; Muhammad Ashraf Fauzi – Journal of Applied Research in Higher Education, 2024
Purpose: This research aims to build on the pre-existing corpus of literature through the integration of the technology acceptance model (TAM) and usage habit to more accurately capture the determinants associated with social media addiction among university students. This study seeks to delineate how usage habit and TAM may be used as predictors…
Descriptors: Social Media, Addictive Behavior, Technology, Student Attitudes
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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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Hok-Ko Pong – Journal of Beliefs & Values, 2024
This study explores the correlation between spiritual well-being and game addiction among Chinese youths in Hong Kong. To examine such a relationship, cross-sectional data (N = 401) were taken from a sample of 209 Chinese university students in 2021 and 192 Chinese university students in 2022. They are between 18-21 years old. The participants…
Descriptors: Well Being, Spiritual Development, Addictive Behavior, Undergraduate Students
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Zhao, Lei – Asia-Pacific Education Researcher, 2023
Social media use can bring negative effects to college students, such as social media addiction (SMA) and decline in academic performance. SMA may increase the perceived stress level of college students, and stress has a negative impact on academic performance, but this potential mediating role of stress has not been verified in existing studies.…
Descriptors: Social Media, Undergraduate Students, Addictive Behavior, Predictor Variables
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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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Esra Malkoç; Tugba Yanpar Yelken – Journal of Educational Technology, 2023
The aim of this study is to examine the relationship between technology addiction levels and peer bullying levels of students at secondary school and to reveal their views on this topic. The survey model from quantitative research method was used in the research. While the population of the research is composed of all secondary schools in district…
Descriptors: Secondary School Students, Information Technology, Addictive Behavior, Student Behavior
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Laura J. Holt; Meredith K. Ginley; Clara Pingeon; Richard Feinn – Journal of American College Health, 2024
Objective: College students use electronic nicotine delivery systems (ENDS) more often than any other US demographic group. In a novel application of the acquired preparedness model, we examined how proximal (e.g., cognitions) and distal (e.g., dispositional) influences accounted for ENDS use and dependence. Participants: Undergraduates (N = 1075;…
Descriptors: Smoking, Electronic Equipment, Risk, Health Behavior
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Akçay, Arif; Coskun, Burcu Karabulut – Journal of Learning and Teaching in Digital Age, 2023
Background: Individuals need to be conscious and aware not to experience the negative effects of digital games and identify the difference between dijital games and digital educational games. The use of digital educational games has four sub-dimensions. These are the "affective approach", the "perceived usefulness,"…
Descriptors: Preservice Teachers, Video Games, Computer Use, Addictive Behavior
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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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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
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Rhodes, Nancy; Potocki, Bridget; Thomas, Sarah – Health Education & Behavior, 2019
Understanding the factors that make college students more likely to drink alcohol and smoke cigarettes is key to developing effective interventions in order to reduce these behaviors. This study sought to understand entering college students' intentions to engage in smoking and drinking behavior by examining the cognitive accessibility (ease of…
Descriptors: Student Behavior, Smoking, Drinking, Intention
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Blackstone, Sarah R.; Johnson, Aimee K.; Sutton, Debra – American Journal of Health Education, 2019
Background: Limited research exists on mental health correlates of behaviors of weight-conscious drinking (BWCD) and students' perceptions of how BWCD should be addressed. Purpose: The objectives were to (1) examine BWCD and different aspects of mental health and (2) gain insight into students' perceptions of such behaviors and potential…
Descriptors: Body Weight, Mental Health, Drinking, Student Attitudes
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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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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
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Walburg, Vera; Moncla, Dany; Mialhes, Aurélie – Child & Youth Care Forum, 2015
Background: Cannabis is a substance frequently consumed by adolescents, which is a risk factor for many psychopathological disorders. At the same time, adolescents in high-schools are likely to be exposed to significant stress from school that can sometimes lead to a burnout syndrome. Objective: The purpose of this study is to explore the impact…
Descriptors: Marijuana, Adolescents, At Risk Persons, High School Students
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