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Direct linkSun, Jinlu; Cao, Liqun – Journal of School Violence, 2022
Most studies of school bullying in China are atheoretical. To fill the gap in the literature, we introduce criminological theories in an attempt to test propositions broadly derived from these perspectives in the study of physical bullying. Relying on data collected from 12 middle schools (Grades 7 to 9) in three cities with information on both…
Descriptors: Foreign Countries, Bullying, Middle School Students, Aggression
Download full textRahim, Mehrak; Goli, Atefeh – International Education Studies, 2016
The aim of the current study was investigating the role of achievement in learning English as a foreign language in EFL learners' cheating attitudes and cheating behaviors. Eight hundred junior high-school students were selected based on random cluster sampling and participated in the study. Their attitudes towards academic dishonesty and their…
Descriptors: Cheating, English Language Learners, Student Attitudes, Student Behavior
Tyler, Kenneth M. – Middle Grades Research Journal, 2015
Academic cheating within the middle grades has become a prevalent schooling dilemma for teachers and administrators. Among the various contextual and cognitive factors that promote academic cheating is home-school dissonance, which has been shown to predict the phenomenon among high school students. The current study extends this line of research…
Descriptors: Predictor Variables, Middle School Students, Urban Youth, Cheating
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
