Publication Date
| In 2026 | 0 |
| Since 2025 | 15 |
| Since 2022 (last 5 years) | 57 |
| Since 2017 (last 10 years) | 145 |
| Since 2007 (last 20 years) | 344 |
Descriptor
| Computer Mediated… | 363 |
| Predictor Variables | 363 |
| Foreign Countries | 153 |
| Student Attitudes | 102 |
| Correlation | 94 |
| Bullying | 85 |
| Internet | 76 |
| College Students | 72 |
| Gender Differences | 65 |
| Online Courses | 59 |
| Adolescents | 49 |
| More ▼ | |
Source
Author
| Abrami, Philip C. | 2 |
| Akgül, Gülendam | 2 |
| Allen, Joseph P. | 2 |
| Arbaugh, J. B. | 2 |
| Bauman, Sheri | 2 |
| Bedrosova, Marie | 2 |
| Chen, Hsiu-Ling | 2 |
| DaCosta, Boaventura | 2 |
| Du, Jianxia | 2 |
| Ellison, Nicole B. | 2 |
| Gunawardena, Charlotte N. | 2 |
| More ▼ | |
Publication Type
Education Level
Audience
| Policymakers | 1 |
Location
| Turkey | 26 |
| China | 13 |
| Taiwan | 11 |
| Australia | 9 |
| South Korea | 8 |
| Canada | 7 |
| Belgium | 6 |
| United States | 6 |
| Israel | 5 |
| Malaysia | 5 |
| Singapore | 5 |
| More ▼ | |
Laws, Policies, & Programs
| Elementary and Secondary… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Xiaoming Cao; Zhuo Huang; Junchen Wu; Mingzhu Li; Tao He – Education and Information Technologies, 2025
Cyberbullying has garnered growing attention, yet existing research lacks nuanced insights into the dynamics of students' cyberbullying profiles and the associated risk factors across multiple domains. This study aims to (1) investigate K-12 students' cyberbullying profiles, (2) develop an AI predictive model for cyberbullying roles, and (3)…
Descriptors: Bullying, Computer Mediated Communication, Victims, Artificial Intelligence
Bowen Xiao; Wanfen Chen; Xiaolong Xie; Hong Zheng; Danielle Law; Hezron Onditi; Junsheng Liu; Jennifer Shapka – International Journal of Bullying Prevention, 2025
The goal of the present study was to identify predictive factors related to cyberbullying by using supervised machine learning in a sample of Chinese adolescents during the COVID-19 pandemic. Participants included 2053 (M[subscript age]=16.36 years, SD = 1.14 years; 44.6% boys) adolescents from Fujian province, China. Data on cyberbullying,…
Descriptors: Bullying, Computer Mediated Communication, Predictor Variables, Artificial Intelligence
Akgül, Gülendam – International Journal of School & Educational Psychology, 2023
The Routine Activity Theory proposes that the presence of a suitable target and a motivated offender in the absence of capable guardianship predict criminal behaviors. Prior research has utilized the theory to explain varied cyber victimization in different western and eastern cultures. The purpose of this study is to test the effects of…
Descriptors: Foreign Countries, Bullying, Computer Mediated Communication, Victims
Shoheib, Zaki; Mauji, Nasrina Issa; Abu-Shanab, Emad – International Journal of Learning Technology, 2022
The internet has considerably changed the landscape of communication in the 21st century. People no longer have to leave their homes to engage in meaningful interpersonal communication. More importantly, individuals who have an inherent fear of human interaction seek solace and comfort in communication technologies. This study investigated how…
Descriptors: Computer Use, Fear, Interaction, Interpersonal Relationship
Zehra Su Topbas; Zeynep Coskun Yüce; Nurcan Uzdil; Nuray Simsek – Psychology in the Schools, 2025
Cyberbullying is an expected behavior among adolescents and threatens their psychosocial health. The current cross-sectional study aims to determine the mediating role of the need to belong in the relationship between vulnerable narcissism and cyberbullying in adolescents. Study data were collected from 501 adolescents. The data were evaluated…
Descriptors: Bullying, Computer Mediated Communication, Adolescents, Personality Traits
Yeboah, Douglas; Nyagorme, Paul – Cogent Education, 2022
Many educators are concerned about students' use of WhatsApp for learning purposes, especially in emergency remote teaching during the COVID-19 pandemic. This study applied the unified theory of acceptance and use of technology (UTAUT) model to examine factors that predict distance students' acceptance of WhatsApp for learning. Correlational…
Descriptors: Computer Software, Computer Mediated Communication, Student Attitudes, Teaching Methods
Smolinski, Pawel Robert; Szostakowski, Marcin; Winiarski, Jacek – Electronic Journal of e-Learning, 2023
The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these…
Descriptors: Electronic Learning, Computer Software, Use Studies, Teacher Behavior
Gabriel R. Paez; Timothy C. Hart – International Journal of Bullying Prevention, 2022
Data from the 2017 National Youth Risk Behavior Surveillance System, consisting of 14,765 students, ranging in age from 12 to 18 years, were used to investigate patterns of cyberbullying victimization, with particular focus on understanding the interplay between traditional bullying victimization and other relevant predictors of cyberbullying.…
Descriptors: Adolescents, Bullying, Computer Mediated Communication, Predictor Variables
Vicente-J. Llorent; Carolina Seade-Mejía; Ximena Vélez-Calvo – Comunicar: Media Education Research Journal, 2023
The COVID-19 pandemic caused a major crisis in numerous social spheres, especially among children, due to the closure of schools in hundreds of countries. The lockdown resulted in classes being given exclusively online, which could have led to increased participation in antisocial online behaviour such as cyberhate. This research aims to find out…
Descriptors: Elementary School Students, Foreign Countries, COVID-19, Pandemics
Al-Rahmi, Waleed Mugahed; Yahaya, Noraffandy; Alturki, Uthman; Alrobai, Amen; Aldraiweesh, Ahmed A.; Omar Alsayed, Alhuseen; Kamin, Yusri Bin – Interactive Learning Environments, 2022
Social media (SM) provide new opportunities to foster collaboration and engagement between students. However, the moderating effect of cyberstalking and cyberbullying on the relationship between students' academic performance and collaborative learning has not yet been addressed. Therefore, this study aims to bridge the literature gap concerning…
Descriptors: Social Media, Cooperative Learning, Predictor Variables, Academic Achievement
Figueiredo, Sandra – Psychology in the Schools, 2024
Very few studies have identified the relationship between chronotype, sleep habits, and bullying/victimization in school and online contexts. The objective of this work is to identify predictors of frequency of bullying/cyberbullying in Portuguese pubescent and adolescent populations, such as chronotype and sleep aspects, controlling for gender,…
Descriptors: Bullying, Victims, Adolescents, Sleep
Choi, Moonsun; Park, Hyung-Joon – Cambridge Journal of Education, 2023
The study aims to identify adolescents' profiles of digital citizenship based on the key elements of digital citizenship and to examine the relationship between the identified profiles and Internet ethics. Survey data were collected from 455 middle and high school students in South Korea and analysed with a latent profile analysis. Results…
Descriptors: Foreign Countries, Adolescents, Technological Literacy, Ethics
Robin M. Kowalski; Gary W. Giumetti; Richard S. Feinn – International Journal of Bullying Prevention, 2023
Dan Olweus' pioneering work on traditional bullying laid the foundation for how cyberbullying is defined and measured today. Many researchers believe that these two forms of bullying share some similarities. However, two perspectives have been outlined for the relationship between traditional bullying and cyberbullying--the extension perspective…
Descriptors: Bullying, Computer Mediated Communication, Longitudinal Studies, Predictor Variables
Huimin Ding; Chengjia Zhao; Feng Huang; Liyue Zhu; Hua Wei; Li Lei – Youth & Society, 2025
This study explores the complex dynamics between cyber-ostracism, depression, and cyberbullying among 870 Chinese adolescents (50.9% boys, M[subscript age] = 13.03, SD = 0.76). Using a cross-lagged panel analysis, the results found: (1) bidirectional associations between cyber-ostracism and depression, with cyber-ostracism at Time 1(T1)…
Descriptors: Foreign Countries, Bullying, Computer Mediated Communication, Depression (Psychology)
Marien Alet Graham – Education Inquiry, 2025
South African children have a right to equitable education free from harm. Still, news of school bullying incidents continues to grab South African news headlines. Creating a safe environment conducive to learning is vital in learners' mathematics achievement (MA). We investigated the association between bullying and Grade 9 MA in South African…
Descriptors: Foreign Countries, Bullying, Computer Mediated Communication, Low Achievement

Peer reviewed
Direct link
