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Yaman, Çetin – Malaysian Online Journal of Educational Technology, 2016
Time spent using various technological equipment increases every day with rapid technology development. Unfortunately, technology addiction is becoming an important issue. Especially with the development and ubiquity of mobile technologies, social media addiction is expanding. The aim of this study is to measure the Facebook addiction levels of…
Descriptors: Social Media, Addictive Behavior, Physical Education, Athletics
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Gryaznov, Alexey N.; Gruzkova, Svetlana U.; Sharafiev, Eduard S.; Cheverikina, Elena A.; Muhametzyanova, Larisa Yu.; Kamaleeva, Alsu R.; Gilmeeva, Rimma Kh. – International Journal of Environmental and Science Education, 2016
The relevance of the investigated problem is conditioned by the fact that one of the negative factors, which prevent favorable socialization and successful personal-professional development of students, is the tendency of youth to be prone to addiction the formation of which is affected by various mental states. The paper is aimed to explore the…
Descriptors: Addictive Behavior, Student Characteristics, Alcohol Abuse, Drug Abuse
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Karakose, Turgut; Yirci, Ramazan; Uygun, Harun; Ozdemir, Tuncay Yavuz – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study was conducted in order to analyze the relation between high school students' Facebook addiction and loneliness levels. The study was conducted with the relational screening model. The sample of the study consists of 712 randomly selected high school students. The data was collected using the Bergen Facebook Addiction Scale (BFAS) to…
Descriptors: Psychological Patterns, High School Students, Addictive Behavior, Social Media
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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
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Danka, Sandor – IAFOR Journal of Education, 2017
Is a smart phone a toy or a tool? Students cannot get enough of it -- after all, social media notifications and viral videos do take time to reflect on -- while teachers, quite understandably, are dismayed to see an excellent educational tool used purely for entertainment. This paper posits that these two concepts are not mutually exclusive. It…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Teaching Methods
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Tas, Ibrahim – Universal Journal of Educational Research, 2017
This research examined the relationship of Internet addiction and gaming addiction with school engagement and effects of Internet addiction and gaming addiction on school engagement. The research was conducted with 365 students (140, 38.4%, males; 225, 61.6%, females) studying at an Anatolian high school in Gaziantep province. Personal Information…
Descriptors: Adolescent Attitudes, Internet, Addictive Behavior, Games
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Müezzin, Emre – Turkish Online Journal of Educational Technology - TOJET, 2015
The aim of this study is to compare the online game addiction in high school students with the habitual computer use and online gaming. The sample selected through the criterion sampling method, consists of 61.8% (n = 81) female, 38.2% (n = 50) male, 131 high school students. The "Online Game Addiction Scale" developed by Kaya and Basol…
Descriptors: Foreign Countries, High School Students, Video Games, Addictive Behavior
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Harrison, Neil R.; McCann, Amy – Psicologica: International Journal of Methodology and Experimental Psychology, 2014
Attentional bias plays an important role in the development and maintenance of alcohol addiction, and has often been measured with a visual probe task, where reaction times are compared for probes replacing either a substance-related cue or a neutral cue. Systematic low-level differences between image classes are a potential cause of low internal…
Descriptors: Color, Attention, Addictive Behavior, Alcohol Abuse
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Meyer, Joseph F.; Faust, Kyle A.; Faust, David; Baker, Aaron M.; Cook, Nathan E. – International Journal of Mental Health and Addiction, 2013
Even when relatively infrequent, careless and random responding (C/RR) can have robust effects on individual and group data and thereby distort clinical evaluations and research outcomes. Given such potential adverse impacts and the broad use of self-report measures when appraising addictions and addictive behavior, the detection of C/RR can…
Descriptors: Addictive Behavior, Response Style (Tests), Test Items, Validity
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Gagnon, Joseph Calvin; Swank, Jacqueline M. – Behavioral Disorders, 2021
A national study of clinical directors examined professional development (PD) focused on mental health provided to professionals in juvenile justice facilities for adjudicated youth. A total of 85 clinical directors responded to a mail survey (45% return rate). The survey questions related to: (1) topics of staff training and the basis for…
Descriptors: National Surveys, Juvenile Justice, Professional Development, Mental Health
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Ribakova, Laysan A.; Valeeva, Roza A.; Merker, Natalia – International Journal of Environmental and Science Education, 2016
The purpose of the study was the theoretical justification and experimental verification of content, complex forms and methods to ensure effective prevention and psycho-pedagogical correction of bullying in school. 53 teenage students from Kazan took part in the experiment. A complex of diagnostic techniques for the detection of violence and…
Descriptors: Foreign Countries, Bullying, Case Studies, Prevention
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Zeleeva, Vera P.; Shubnikova, Ekaterina G. – International Journal of Environmental and Science Education, 2016
The relevance of the study is due to the development of a new stage of prevention and the need to justify new educational goals and objectives of the pedagogical prevention of addictive behavior in the educational environment. The purpose of this article is to examine the totality of the necessary and sufficient individual resources, that are…
Descriptors: Prevention, Addictive Behavior, Adolescents, Resilience (Psychology)
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Kircaburun, Kagan – Journal of Education and Practice, 2016
In this study, direct and indirect effects of self-esteem, daily internet use and social media addiction to depression levels of adolescents have been investigated by testing a model. This descriptive study was conducted with 1130 students aged between 12 and 18 who are enrolled at different schools in southern region of Aegean. In order to…
Descriptors: Foreign Countries, Depression (Psychology), Measures (Individuals), Self Concept Measures
Kanthawongs, Penjira; Jabutay, Felicito Angeles; Upalanala, Ruangrit; Kanthawongs, Penjuree – International Association for Development of the Information Society, 2016
Apart from Internet addiction, smartphone addiction has played important roles in students' lives as observed in recent studies. There are positive and negative aspects in using smartphones especially in higher education. University administrators or instructors should take into account what factors are affecting students' smartphone addiction in…
Descriptors: Handheld Devices, Telecommunications, Addictive Behavior, Foreign Countries
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Järvinen, Margaretha; Ravn, Signe – British Journal of Sociology of Education, 2018
This article analyses the relationship between cannabis use and educational trajectories among 42 young drug users, recruited at addiction treatment centres in Denmark. Quantitative research shows regular cannabis use to be associated with poor school performance and drop-out. However, these studies do not pay much attention to differences between…
Descriptors: Correlation, Marijuana, Drug Use, Addictive Behavior
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