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Karahan, Muhammed Baran; Kaya, Oktay – African Educational Research Journal, 2023
This research was conducted to determine the attitudes of university students with different socio-economic structures towards information and communication technologies, using information and communication technologies (ICT), which are increasingly used in our daily life, by using a descriptive survey model and survey method. Günbatar (2014) and…
Descriptors: Student Attitudes, College Students, Socioeconomic Status, Physical Education
Mustafa Koc; Asir Ayvali – International Society for Technology, Education, and Science, 2023
Although computers have many benefits for people, long-term continuous and non-ergonomic usage may lead to a number of health problems, especially vision and posture disorders. Therefore, it is crucial for students to learn and implement ergonomic usage principals. Perhaps, university students are the most at risk users as their access to computer…
Descriptors: College Students, Human Factors Engineering, Computer Use, Knowledge Level
Mijin Kim; George Poncy; Frederick G. Lopez – Journal of American College Health, 2024
Objective: The present study examined the association between passive FB use and academic stress, as well as the moderating role of users' dispositional levels of authenticity. Participants and Methods: A total of 188 college students responded to questionnaires regarding their FB use, trait authenticity, and academic stress. Results: The amount…
Descriptors: Social Media, Stress Variables, College Students, Correlation
Omoyemiju, Michael Adeniyi; Omotosho, Idowu Mujidat – International Journal of Research in Education and Science, 2023
The research examined the spread of internet addiction among tertiary institution students in Osun State and examine the connection between social anxiety and internet addiction. The research used descriptive survey research methodology. A sample of 1,430 students were picked to be involved in the research using multistage sampling methodology.…
Descriptors: Anxiety, College Students, Internet, 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
Deborah Ann Williams – ProQuest LLC, 2024
The use of social media is swiftly increasing, especially among the adolescent population. At the same time, student engagement in school is waning, leading to poor grades, dropping out, health problems, and low lifetime earning potential. The purpose of this quantitative nonexperimental study was to determine if a relationship exists between…
Descriptors: Social Media, Computer Use, High School Students, Learner Engagement
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
Elliott, Rob – Educational Technology & Society, 2023
Higher education has become dependent on the use of digital materials, which may include texts, audiovisual content, and software applications. Because students in higher education are largely responsible for providing the computing devices they are required to use to interact with their digital course materials, instructors and instructional…
Descriptors: College Students, Computers, Ownership, Access to Computers
Jiaxu Liu; Qingtang Liu; Shufan Yu; Jingjing Ma; Mengfan Liu; Linjing Wu – Education and Information Technologies, 2024
Virtual reality learning environment (VRLE), which allow students to transcend time and space and provide them with a sense of immersion, is becoming more common in education. Although many studies have explored the effects of VRLE on learners' learning outcomes as well as learning experiences, the results of these studies indicate that the…
Descriptors: Personal Autonomy, Student Characteristics, Outcomes of Education, Cognitive Processes
Shard; Devesh Kumar; Sapna Koul – International Journal of Learning Technology, 2024
This study aims to examine the effects of e-learning management system -- quality characteristics and student characteristics on continuous intention to use e-LMS. This empirical and quantitative study focuses on emerging nations, specifically India, and explores the acceptance of e-LMS among students. While previous research has examined student…
Descriptors: Foreign Countries, Electronic Learning, Undergraduate Students, Graduate Students
Yinal, Azmiye; Banje, Faith Umene – Turkish Online Journal of Educational Technology - TOJET, 2023
With the effect of globalization and digitalization, remarkable progress has been made in internet and smart phone technology. Nowadays especially, with the increasing number of users, smartphones have become an important need for children and young individuals. In this sense, behavioral disorders in young individuals have become inevitable due to…
Descriptors: Social Media, Computer Use, College Students, Addictive Behavior
Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
Kabasakal, Hatice Zekavet; Demir, Kadir – Education Quarterly Reviews, 2022
Cyberloafing is a widely recognized concept associated with the Internet, which has a wide usage area today. Cyberloafing is extensively noticed, particularly among young people, and its association with a variety of variables is being researched. In this study, university students' life goals and cyberloafing profiles were analyzed on the basis…
Descriptors: Foreign Countries, College Students, Internet, Student Behavior
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