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Betul Aydin; Suleyman Sadi Seferoglu – Turkish Online Journal of Distance Education, 2025
This study aims to conduct validity and reliability of a measurement tool developed to determine university students' levels of digital risk taking. 646 undergraduate students from 8 different universities voluntarily participated in the study. Exploratory and confirmatory factor analyses were conducted to reveal the factor structure of the…
Descriptors: Undergraduate Students, Measures (Individuals), Risk, Test Validity
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Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
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Zien Ding; Ru-De Liu; Yi Ding; Xiantong Yang; Yi Yang – Education and Information Technologies, 2025
Academic cyberloafing, defined as the involvement in non-academic online activities during academic tasks, has emerged as a prevalent concern within higher education. While previous research has identified course-related factors that may influence academic cyberloafing, the specific relation between perceived course difficulty and academic…
Descriptors: Course Selection (Students), Difficulty Level, Computer Use, Time Management
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Aleksandra Kobicheva; Elena Tokareva; Tatiana Baranova – European Journal of Psychology of Education, 2025
Phubbing is not only a consequence of technological advancements but also represents an entirely novel aspect of social conduct, impacting students' academic performance and the sustainability of development. The purpose of the study is to identify the relationship between students' level of phubbing, academic engagement and academic performance…
Descriptors: Student Behavior, Learner Engagement, Computer Use, College Students
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Anett Wolgast; Stefan Bieletzke – European Journal of Psychology and Educational Research, 2025
Research on academic outcomes has extensively explored students' emotions, motivation, and learning behavior. While further research highlights the role of individual interactions with generative artificial intelligence (AI), a gap exists in understanding the longitudinal dynamic associations between university students' interactions with AI…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Computer Uses in Education
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Suliman Zakaria Suliman Abdalla; Amal Khalfan Rashid AlSalti – Educational Process: International Journal, 2025
Background/purpose: This study examines the behavioral factors influencing the adoption of AI-powered generative technologies in higher education and their impact on students' cognitive engagement--a crucial element of sustainable, inclusive, and high-quality learning, as envisioned by UNESCO's Sustainable Development Goal 4 (SDG4). The study…
Descriptors: Artificial Intelligence, Cognitive Development, College Students, Computer Uses in Education
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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
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Jamie M. Chen; Limin Zhang; Supavich Pengnate; Emily Ma; Xi Yu Leung – Journal of Information Systems Education, 2025
Although e-learning is considered one of the leading teaching methods in higher education, both learners and instructors face significant challenges owing to reduced social interaction compared with traditional classroom learning. In this study, we explore the leveraging of recent developments in generative artificial intelligence (AI) and create…
Descriptors: Artificial Intelligence, Computer Uses in Education, Electronic Learning, Learner Engagement
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Mihelic, Katarina Katja; Lim, Vivien Kim Geok; Culiberg, Barbara – European Journal of Psychology of Education, 2023
This paper examines mobile cyberloafing, i.e. the use of phones for non-study purposes among Gen Z students, the first generation of digital natives. Drawing from research on misbehaviour and cyberloafing, we developed and tested a model with moral disengagement and subjective norms as predictors and psychological detachment and cognitive…
Descriptors: Telecommunications, Handheld Devices, Student Behavior, College Students
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Isabelle Cabot; Rachel Surprenant – Higher Education Studies, 2025
Numerous studies have reported a disruption in the lifestyle habits (LsHs) of post-secondary students during the COVID-19 pandemic. Given the importance of LsHs for these young adults' physical and mental health and academic success, it is pertinent to examine whether these changes were maintained beyond the public health crisis. As post-pandemic…
Descriptors: Foreign Countries, College Students, Life Style, Student Behavior
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Amy Baldwin; Louis Nadelson; Dana Tribble – Journal of Effective Teaching in Higher Education, 2024
College students have a variety of temptations that can keep them from making the most of their learning in and out of the classroom. Moreover, students' habits and behaviors related to mobile device use can hinder their learning and can stymie faculty's effective teaching practices. To explore these issues, we conducted a phenomenological study…
Descriptors: Student Motivation, Student Behavior, Handheld Devices, College Freshmen
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Lee, Gang; Soonah, Annalyssia – Journal of Cybersecurity Education, Research and Practice, 2023
The purpose of this study was to investigate the effects of the anonymity of the internet and gender differences in online trolling and cybervictimization. A sample of 151 college students attending a southeastern university completed a survey to assess their internet activities and online trolling and cybervictimization. Multivariate analyses of…
Descriptors: Gender Differences, Internet, Bullying, Computer Mediated Communication
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Dere, Zeynep – International Journal of Curriculum and Instruction, 2023
Digitalization is an unavoidable benefits of modern life Digital transformation and change continue to be experienced in every field. Adolescents have accessed many apps, including those related to their academic life, online in the past year. It is vital for the health of adolescents that researchers identify their Internet addictions and come up…
Descriptors: Addictive Behavior, Student Behavior, Internet, Undergraduate Students
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Hermann Astleitner; Sarah Schlick – Active Learning in Higher Education, 2025
Social media has a strong influence on the everyday lives of college students. A particular question of advanced research interest is whether social media also play a role when attending class. This exploratory study was aimed at designing a theoretical model that embraces such concepts. First, we identified that identity development, learning…
Descriptors: Social Media, College Students, Self Concept, Computer Use
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Feliza Marie S. Mercado; Sungwon Shin – Online Learning, 2025
This case study explores the perceived social presence of 15 non-traditional graduate students engaged in a collaborative activity within a practice-oriented online course. Grounded in the Community of Inquiry framework and principles of collaborative learning, the activity was intentionally designed to include instructor facilitation, structured…
Descriptors: Nontraditional Students, Graduate Students, Internet, Computer Uses in Education
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