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Jiayi Li; Aitao Lu; Liwen Ye; Guoping Chen; Hong Ling; Wanyi Chen; Yingjie Zhong; Yuening An; Xiayao Ke – Psychology in the Schools, 2025
Mobile phone addiction (MPA) has become a prevalent issue among adolescents, which is closely associated with cognitive failure. The present study seeks to explore the network structure of the association between MPA and cognitive failure among adolescents by network analysis, as well as the mediating roles of self-control and mind wandering by…
Descriptors: Handheld Devices, Telecommunications, Addictive Behavior, Self Control
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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
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Sevinç, Meryem; Dogusoy, Berrin – Participatory Educational Research, 2022
Students' problematic internet behaviour is often mentioned concept in the related literature. Even though the related literature concentrated on students' problematic internet behaviour from various perspectives among different sampling groups, most of the studies focused on adults than younger groups. Therefore, the current study focused on…
Descriptors: Foreign Countries, Secondary School Students, Telecommunications, Handheld Devices
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Sagar, Mehmet Enes – International Education Studies, 2021
The aim of this study is to examine how cognitive flexibility and self-control variables predict the social media addiction levels of university students. Relational model-based screening conducted in the 2020-2021 academic year. The research group studying this study in different universities in Turkey, 230 (47%) were male and 259 (53%) were…
Descriptors: Cognitive Processes, Self Control, Adjustment (to Environment), Social Media
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Akkus Çutuk, Zeynep – Malaysian Online Journal of Educational Technology, 2021
The present study aimed at testing a model developed to uncover the relationships among social media addiction, cognitive absorption, and self-esteem. This study's sample consisted of 361 university students, 198 of whom were females, and 163 were males. Data were collected using the Social Media Addiction Scale (SMAS), the Cognitive Absorption…
Descriptors: Social Media, Addictive Behavior, Handheld Devices, Telecommunications
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Defoe, Ivy N.; Semon Dubas, Judith; Somerville, Leah H.; Lugtig, Peter; van Aken, Marcel A. G. – Developmental Psychology, 2016
Adolescence is a vulnerable period for the initiation and peak of many harmful risk-taking behaviors such as smoking, which is among the most addictive and deadliest behaviors. Generic metatheories like the theory of triadic influence (TTI) suggest that interrelated risk factors across multiple domains (i.e., intrapersonal and…
Descriptors: Adolescents, Smoking, At Risk Persons, Addictive Behavior
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Celik, Vehbi; Yesilyurt, Etem; Korkmaz, Ozgen; Usta, Ertugrul – EURASIA Journal of Mathematics, Science & Technology Education, 2014
In this research internet addiction has been dealt with as predictor and predicted variable, this situation has been analyzed from the perspectives of loneliness and cognitive absorption and a tangible model has been put forth. Participant group has been constituted by 338 teacher candidates. Research data were collected using loneliness scale…
Descriptors: Internet, Addictive Behavior, Predictor Variables, Cognitive Processes
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Donati, Maria Anna; Chiesi, Francesca; Primi, Caterina – Journal of Adolescence, 2013
This study aimed at testing a model in which cognitive, dispositional, and social factors were integrated into a single perspective as predictors of gambling behavior. We also aimed at providing further evidence of gender differences related to adolescent gambling. Participants were 994 Italian adolescents (64% Males; Mean age = 16.57).…
Descriptors: Adolescents, Addictive Behavior, Cognitive Processes, Gender Differences