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Rebekah Reysen; Richard Balkin; Amanda Winburn – College Teaching, 2024
The purpose of this study was to explore the relationship between academic entitlement, gaming, addiction, and life balance. College students (n = 230) on academic probation (cumulative GPA < 2.0) enrolled at a large, public southern university participated in the study. We were able to successfully predict entitlement using life balance…
Descriptors: Expectation, Games, Addictive Behavior, College Students
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
Avci, Ummuhan; Karaoglan Yilmaz, Fatma Gizem; Yilmaz, Ramazan – Psychology in the Schools, 2023
The study examined the relationship between democratic, authoritarian, and protective-demanding parental attitudes, obsessive-compulsive disorder (OCD), and Instagram addiction. It is based on the correlational research design in which the structural relationships between the variables were used. The study was carried out on 421 university…
Descriptors: Social Media, Photography, Anxiety Disorders, Parenting Styles
Suleyman Avci; Mustafa Cakir; Tuncay Akinci – Journal on Efficiency and Responsibility in Education and Science, 2024
This study aims to examine the effects of self-control and future time perception on social media addiction and academic procrastination and determine whether social media addiction affects academic achievement through academic procrastination. A total of 559 university students participated. The participants' most commonly used social media…
Descriptors: Addictive Behavior, Social Media, Time Management, Academic Achievement
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
Smartphone and Internet Addiction as Predictors of Cyberloafing Levels in Students: A Mediated Model
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
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
Simon, Jessica R.; Randall, Jason G. – Education and Information Technologies, 2022
Today's learners rely heavily on learning management systems (LMS) to access and submit coursework, receive feedback, interact with others, and track progress. The current study moves past the question of whether to use LMS, to uncover how LMS use affects learners. We drew on motivational theories of goal orientation to predict how frequently…
Descriptors: Predictor Variables, Addictive Behavior, Integrated Learning Systems, Student Motivation
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
ALHarbi, Bassam Hilal; Al-Mehsin, Salama Aqeel; Al-Rababaah, Jaafar Kamel; Ibrahim, Khaled Ahmed Abdel-Al – Journal of Education and e-Learning Research, 2021
The study aimed to identify the predictive ability of social anxiety in Internet addiction among university students, by relying on the relational descriptive approach. The study sample consisted of (462) male and female students from the Faculty of Educational Sciences at the Hashemite University who were selected through the available random…
Descriptors: Anxiety, Social Behavior, Internet, Addictive Behavior
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
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
M. Fadli Nugraha; Yura Loscalzo – SAGE Open, 2024
Studyholism (SH) is a new potential clinical condition introduced in 2017 by Loscalzo and Giannini to refer to problematic overstudying, specifying that it might be associated with either high or low Study Engagement (SE). We aimed to analyze SH and SE's predictive role on academic resilience. We gathered 609 Indonesian youths, and we performed a…
Descriptors: Foreign Countries, College Students, Study Habits, Learner Engagement
Onat Kocabiyik, Oya – International Journal of Research in Education and Science, 2021
The aim of this study is to determine the social media addiction levels of university students and examine whether their social comparison orientations and ruminative responses significantly predict social media addiction. The study group consists of 261 university students. "Social Media Addiction Scale", "Iowa-Netherlands Social…
Descriptors: Social Media, College Students, Addictive Behavior, Predictor Variables
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