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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
Nehir Yasan-Ak; Soner Yildirim – Technology, Knowledge and Learning, 2024
Mobile phones have become essential learning tools with their extensive features and functionalities, contributing to the emergence of mobile learning. These devices enable communication and collaboration both inside and outside the classrooms while also aiding in information seeking, collection, and content generation. Yet, the use of mobile…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Undergraduate Students
Altinpulluk, Hakan; Kilinc, Hakan; Alptekin, Gokhan; Yildirim, Yusuf; Yumurtaci, Onur – Open Praxis, 2023
The aim of this study was to determine the relationship between the intrinsic motivation levels and self-directed learning levels of learners within a massive open online course environment. In addition, the relationship between these variables and the technology competences/average daily use times of technology were also studied. This study was…
Descriptors: MOOCs, Independent Study, Student Motivation, Correlation
Shah, Zohal; Chen, Chen; Sonnert, Gerhard; Sadler, Philip M. – AERA Online Paper Repository, 2023
Computer gameplay and social media are the two most common forms of entertainment in the digital age. Many scholars share the assumption that leisure-time digital consumption is associated with CS affinity, but there is a dearth of research evidence for this relationship. Female students generally spend less time on gaming and more time on social…
Descriptors: Computer Science, Vocational Interests, Computer Use, Gender Differences
Alexa Deyo; Josh Wallace; Katherine M. Kidwell – Journal of American College Health, 2024
Objective: To examine how time spent on handheld screens was related to internalizing mental health symptoms in college students and whether time spent in nature was associated with fewer mental health symptoms. Participants: Three hundred seventy-two college students (M[subscript age] = 19.47 ± 1.74, 63.8% female; 62.8% college freshman).…
Descriptors: Handheld Devices, Telecommunications, Computer Use, Mental Health
Hebebci, Mustafa Tevfik; Bertiz, Yasemin; Alan, Selahattin – Journal of Educators Online, 2023
This research analyzed the predictive effect of personality types on online unethical behaviors and the relationship between these two variables. Online unethical behaviors are discussed in terms of gender, educational level, and ethics course experience. The study group of the research conducted in the correlational survey model consisted of 269…
Descriptors: College Students, Ethics, Behavior, Personality Traits
Murat Çinar; Dilek Dogan; Ömer Demir – Education and Information Technologies, 2025
This study aims to examine how external locus of control (eLoC) impacts students' academic procrastination behaviors in asynchronous distance education with regard to compulsive internet habits, cyberloafing, disrespect for copyright, learning goal orientation, and self-efficacy. The sample comprised a total of 916 undergraduate students.…
Descriptors: Predictor Variables, Time Management, Online Courses, Locus of Control
Angelos Rodafinos; Vassilis Barkoukis; Katerina Tzafilkou; Despoina Ourda; Anastasios A. Economides; Maria Perifanou – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to examine the influence of digital competences, technology acceptance, and individual factors (gender and educational level) on academic achievement in Physical Education and Sports Science (PESS). Background: Prior research has established a positive correlation between digital competences and performance, but the…
Descriptors: Technological Literacy, Academic Achievement, Physical Education, Athletics
Özge Pinarcik Sakaryali; Nur Banu Yigit – International Journal of Modern Education Studies, 2024
This study explores the relationship between social media addiction, mental wellbeing, and emotional states among Early Childhood Education (ECE) candidates. Utilizing a sample of 330 ECE students from Düzce University and Alanya Alaaddin Keykubat University, the research employed the Social Media Addiction Scale-Adult Form, Positive and Negative…
Descriptors: Foreign Countries, Social Media, Addictive Behavior, Mental Health
Ajeka Friday; Musibau Shofoluwe – International Journal of Technology in Education and Science, 2025
Social media networking has become an integral part of communication today, with widespread usage across various demographics. This study was conducted to investigate the impact of social media on student academic performance, recognizing its prevalence and influence in educational settings. A random sample of 1,692 students was selected to…
Descriptors: Social Media, Academic Achievement, College Students, Predictor Variables
Karakaya Özyer, Kübra; Altinsoy, Fatma – Malaysian Online Journal of Educational Technology, 2023
To understand the relationship between problematic internet use and academic procrastination, this study constructs a parallel mediation model to examine the impact of university students' problematic internet usage on their academic procrastination and the mediation effect of academic self-efficacy and self-regulated online learning. A total of…
Descriptors: College Students, Foreign Countries, Internet, Computer Use
Sánchez-Fernández, Magdalena; Borda-Mas, Mercedes – Education and Information Technologies, 2023
University students are a high-risk population with problematic online behaviours that include generalized problematic Internet/smartphone use and specific problematic Internet uses (for example, social media or gaming). The study of their predictive factors is needed in order to develop preventative strategies. This systematic review aims to…
Descriptors: College Students, Student Behavior, Telecommunications, Handheld Devices
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
Jiajun, Guo; Islam, A. Y. M. Atiquil; Teo, Timothy; Spector, Jonathan Michael – Instructional Science: An International Journal of the Learning Sciences, 2019
This study focuses on visual creativity and how it can be supported with computer technologies and thereby be used to support learning and instruction. However, studies related to computer-enabled visual creativity have not been frequently explored. As such, the current research proposes a model consisting of four major factors: (a) computer-aided…
Descriptors: Creativity, Visual Arts, Self Efficacy, Computer Attitudes
Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes