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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
Hatice Yildiz Durak; Sinan Hopcan; Elif Polat; Gül Özüdogru; Nilüfer Atman Uslu – Technology, Knowledge and Learning, 2025
The aim of this study extends the structural models in the existing literature to understand the role of multiple screen addictions (MSA) in the process while considering the relationships between goal orientation, GPA, and autonomous learning as predictors of online engagement. This study used a relational screening model to explore relations…
Descriptors: Addictive Behavior, Computer Use, Goal Orientation, Grade Point Average
Nikola Levkov; Bojan Kitanovikj – International Journal of Technology in Education, 2024
While the right usage of technology brings a plethora of benefits, misusing technological devices and the Internet in an educational context can manifest in different behavioral tendencies. This ranges from growing addiction to technology and cyberbullying to technological anxiety and technostress. Yet, the effects of cyberloafing on students'…
Descriptors: Foreign Countries, College Students, Social Media, Internet
A Latent Transition Analysis of Internet Addiction in Early Adolescents and Its Contributing Factors
Hu, Xiaojin; Chen, Yuling; Wang, Zhihang; Huebner, E. Scott; Ling, Yu – Journal of Early Adolescence, 2023
The purpose of the present study was to identify the patterns of Internet addiction in early adolescents and their associated protective factors in order to prevent and/or ameliorate internet addiction as early as possible. A 2-year longitudinal study was conducted among 621 Chinese early adolescents. Latent class and latent transition analyses…
Descriptors: Internet, Addictive Behavior, Early Adolescents, Conceptual Tempo
Seema, Riin; Heidmets, Mati; Konstabel, Kenn; Varik-Maasik, Ene – Journal of Psychoeducational Assessment, 2022
We present the development and validation of the Digital Addiction Scale for Teenagers (DAST), describing the pilot study (N = 40 students) and main study (N = 4493) with Estonian students aged 11-19, in spring 2020. Our aim was to create a scale suitable for psychoeducational assessment of teenagers' behaviour and feelings towards digital…
Descriptors: Test Construction, Addictive Behavior, Adolescents, Information Technology

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