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Jacob Davidsen; Rolf Steier – International Journal of Research & Method in Education, 2025
Methodological advancements for the study of learning processes are both shaped by and drivers of technology developments. Interaction Analysis (IA), as a core methodological approach over the past three decades is reflective of this relationship and can be understood by examining moves from analogue video tapes, to digital media, computational…
Descriptors: Educational Research, Interaction, Research Methodology, Computer Use
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
Zhipeng Zhou; Ziyao Zhang; Ying Lu; Zilong Wang; Jianqiang Cui; Guodong Ni – Education and Information Technologies, 2024
For working students, reconciling work and school lives is a major challenge. Emerging ubiquitous information and communication technologies (ICTs) further exacerbate this challenge, as a constant connection to work via ICTs blurring the boundaries between work and school domains. While the influence of ICTs on users' work and personal lives has…
Descriptors: Information Technology, Student Employment, Coping, Computer Use
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
Yu Gou; Luyan Teng; Haohong Nie – SAGE Open, 2025
The rapid development of the Internet has made search engines the preferred way for people to obtain information. As the world's largest Chinese search engine, Baidu Index developed by Baidu is an important data analysis platform. Similar to Google Trends, Baidu Index is a data tool based on data that provides the display frequency and related…
Descriptors: Bullying, Search Engines, Trend Analysis, Geographic Location
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
Aaron T. Berger; Darin J. Erickson; Kayla T. Johnson; Emma Billmyer; Kyla Wahlstrom; Melissa N. Laska; Rachel Widome – Journal of School Health, 2025
Background: We aimed to characterize relationships between delayed high school start time policy, which is known to lengthen school night sleep duration, and patterns in activity outcomes: physical activity, non-school electronic screen time (non-schoolwork), and sports and extracurricular activity among adolescents. Methods: We used data from the…
Descriptors: School Schedules, High School Students, Physical Activity Level, Computer Use
Nicole K. Iappelli – Online Submission, 2025
The purpose of this study was to examine how screen time and peer interaction affect student focus and social engagement across K-12 classrooms, particularly in light of changes observed since the COVID-19 pandemic. This study collected survey data from K-12 educators across three grade bands (K-4, 5-8, and 9-12) to assess students' device use…
Descriptors: Elementary Secondary Education, Computer Use, Peer Relationship, Interaction
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
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
Kaden Hart; Christopher M. Warren; Seth Poulsen; John Edwards – International Educational Data Mining Society, 2024
We report on a study in which we examined the work habits of six students who agreed to use do not disturb on their phone while working on programming assignments. Two students tried do not disturb, and quickly quit using it. Three out of four remaining student participants were more productive while using do not disturb when working on their…
Descriptors: Telecommunications, Handheld Devices, Computer Use, Student Behavior
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
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
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
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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