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Moyo, Abel; Tsokota, Theo; Ruvinga, Caroline; Chipfumbu Kangara, Colletor T. – Technology, Knowledge and Learning, 2022
Use of Information and Communication Technologies (ICTs) offers extraordinary opportunities for society, particularly in the education sector. Many schools in Zimbabwe are now allowing the use of ICTs devices by learners in order to access the Internet and share educational material. However, there is considerable evidence that through use of…
Descriptors: Secondary School Students, Risk, Case Studies, School Districts
So, Ryuhei; Makino, Kazunori; Fujiwara, Masaki; Hirota, Tomoya; Ohcho, Kozo; Ikeda, Shin; Tsubouchi, Shouko; Inagaki, Masatoshi – Journal of Autism and Developmental Disorders, 2017
Extant literature suggests that autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD) are risk factors for internet addiction (IA). The present cross-sectional study explored the prevalence of IA among 132 adolescents with ASD and/or ADHD in a Japanese psychiatric clinic using Young's Internet Addiction Test. The…
Descriptors: Incidence, Internet, Addictive Behavior, Attention Deficit Hyperactivity Disorder
Sohn, Min; Oh, Heymin; Lee, Sang-Kyu; Potenza, Marc N. – Journal of School Nursing, 2018
The purpose of the study was to explore the association among suicidal ideation, cyber addiction, and school bullying of Korean high school students. This descriptive cross-sectional study included 416 students. The data were collected using structured questionnaires on suicidal ideation, Internet and smartphone addiction, experiences of school…
Descriptors: Internet, Correlation, Suicide, Bullying
Wu, Anise M. S.; Lau, Joseph T. F.; Cheng, Kit-man; Law, Rita W.; Tse, Vincent W. S.; Lau, Mason M. C. – Journal of Early Adolescence, 2018
Internet addiction (IA) is prevalent among adolescents and imposes a serious public health threat. Familial risk and protective factors may co-exist and interact with each other to determine IA. We conducted a cross-sectional survey among 9,618 Secondary 1 to 4 students in Hong Kong, China. About 16% of the surveyed students were classified as…
Descriptors: Risk, Addictive Behavior, Multivariate Analysis, Intervention
MacKillop, James – Journal of the Experimental Analysis of Behavior, 2013
Delayed reward discounting is a behavioral economic index of impulsivity, referring to how much an individual devalues a reward based on its delay in time. As a behavioral process that varies considerably across individuals, delay discounting has been studied extensively as a model for self-control, both in the general population and in clinical…
Descriptors: Addictive Behavior, Rewards, Self Control, Genetics
Kimberley, Dennis – Forum on Public Policy Online, 2010
The intent of this paper is to contribute to scholarship, knowledge and public policy regarding child maltreatment and parenting capacity within the context of parental substance use and abuse. One goal is to give voice to the children who have moved to, or who are approaching, the threshold for needing a type of protection that is neither…
Descriptors: Child Abuse, Child Welfare, Public Policy, Social Work

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