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Showing 1 to 15 of 33 results Save | Export
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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
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Sharon R. Mittiga; Nerelie C. Freeman; Brett E. Furlonger; Perrin Chan; Erin S. Leif – Journal of Positive Behavior Interventions, 2025
This study evaluated the quality and behavior change techniques (BCTs) included in 11 freely available mobile classroom behavior management applications (mCBM apps). We found that mCBM apps included a limited number of BCTs, with an average of 9 of 21 possible BCTs. Consequence-based BCTs like rewards and feedback were common, while…
Descriptors: Behavior Modification, Student Behavior, Computer Uses in Education, Positive Behavior Supports
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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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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
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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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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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Tuire Oittinen – Classroom Discourse, 2024
This paper investigates the accomplishment of highlighting in multiparty video-mediated learning activities. The focus is on moments of screen sharing and the verbal, embodied, and digital resources participants deploy to draw joint attention to a referent on screen. Drawing on screen recorded data (90 h) from an adult education setting (i.e.…
Descriptors: Video Technology, Adult Education, Learning Activities, Attention
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Shiya Chen; Lu Huang; Rustam Shadiev; Peiying Hu – Education and Information Technologies, 2025
The introduction of online homework has revolutionized traditional assignment formats, providing students with access to abundant learning resources, a convenient platform for completing assignments, real-time interactive learning opportunities, and accurate feedback. However, there is a paucity of research exploring the perspectives of elementary…
Descriptors: Elementary School Students, Student Attitudes, Intention, Electronic Learning
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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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Madison C. Chandler; Oksana K. Ellison; Amanda L. McGowan; Kimberly M. Fenn; Matthew B. Pontifex – Journal of American College Health, 2024
For undergraduate students, excessive screen time is associated with poorer mental health and greater perceived stress. Objective: The purpose of the present investigation was to determine the potential moderating influence of physical activity and sleep on the relationship between screen time and stress. Participants & Methods: A…
Descriptors: Physical Activity Level, Sleep, Anxiety, Undergraduate Students
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Xiao-Rong Guo; Shao-Ying Gong; Si-Yang Liu; Jing Wang; Yan-Qing Wang; Xin Zhao – European Journal of Psychology of Education, 2025
Previous studies have pointed out that leisure motivational interference was an important factor affecting students' learning satisfaction. This study concentrates on three unexplored areas in the current literature on leisure motivational interference and learning satisfaction. Specifically, it is the first to (a) focus on the effects of digital…
Descriptors: Leisure Time, Student Motivation, College Students, Electronic Learning
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Cheng-Hung Wang – Education and Information Technologies, 2025
In the post-COVID-19 era, information education with highly interactive teaching methods has become increasingly common. In particular, the metaverse and virtual reality (VR) technology can be used in novel learning methods to leverage the intuitiveness, immersivity, and interactivity of VR. For example, students could use VR to simulate…
Descriptors: Computer Simulation, Instructional Materials, Natural Sciences, Elementary Secondary Education
Carla Christine White – ProQuest LLC, 2024
The problem under study was that even with training, teachers have difficulty implementing behavior management programs. The purpose of this basic qualitative study was to explore middle school teachers' perceptions of the challenges they encounter in implementing behavior management programs to encourage positive student behavior. The theory of…
Descriptors: Teacher Attitudes, Behavior Modification, Computer Uses in Education, Computer Software
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Nosheen Fatima Warraich; Momina Irfan; Irfan Ali – SAGE Open, 2024
The main purpose of the study was to validate the Use and Gratification (U&G) theory and examine the effect of U&G (entertainment, information seeking, and socializing) on the theory of planned behavior (Perceived behavioral control and attitude toward behavior) among students regarding mobile technology usage in COVID-19. Quantitative…
Descriptors: COVID-19, Pandemics, Student Behavior, Validity
Jason H. Martin – ProQuest LLC, 2024
This mixed-methods study analyzes the perspectives of educators in middle school regarding the impact of cell phones in the middle school environment. Vygotsky's (1978) sociocultural theory of cognitive development along with opportunity theory (Cohen & Felson, 1979) provide insight regarding implications related to accessing personal devices…
Descriptors: Teacher Attitudes, Social Development, Emotional Development, Well Being
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