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Yuntian Xie; Ying Li; Taowen Yu; Yuxuan Liu – Education and Information Technologies, 2025
This study aimed to develop and validate the Metacognitions about Generative AI Use Scale (MGAUS) to assess college students' metacognitive beliefs about generative AI and to explore these metacognitions as predictors of generative AI addiction risk. A total of 1229 college students from China participated in the study, providing data through an…
Descriptors: Foreign Countries, College Students, Metacognition, Student Attitudes
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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
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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
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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
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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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Hatice Yildiz Durak; Sinan Hopcan; Elif Polat; Gül Özüdogru; Nilüfer Atman Uslu – Technology, Knowledge and Learning, 2025
The aim of this study extends the structural models in the existing literature to understand the role of multiple screen addictions (MSA) in the process while considering the relationships between goal orientation, GPA, and autonomous learning as predictors of online engagement. This study used a relational screening model to explore relations…
Descriptors: Addictive Behavior, Computer Use, Goal Orientation, Grade Point Average
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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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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
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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
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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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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
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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
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Akturk, Ahmet Oguz – International Journal of Education in Mathematics, Science and Technology, 2020
The purpose of this study is to predict university students' problematic Internet use levels by their attachment styles. The participants of the study are the university students at a large university in Turkey. While the Problematic Internet Usage Scale is used to measure university students' problematic Internet usage levels, the Relationship…
Descriptors: Addictive Behavior, Internet, College Students, Attachment Behavior
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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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Odaci, Hatice; Degerli, Fatma Irem; Cikrikci, Neslihan – Journal of Psychologists and Counsellors in Schools, 2021
The purpose of this research was to examine internet addiction among high school and university students in terms of interpersonal relationships, automatic thoughts and problem-solving skills. The sample of the study comprised a total of 480 participants: 195 (40.6%) high school and 285 (59.4%) university students. Females constituted 53.3% (256)…
Descriptors: Addictive Behavior, Internet, High School Students, College Students
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