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Direct linkCorey Centwane Calhoun Sr. – Pastoral Care in Education, 2025
Bullying victimization is a very common, complex, and potentially damaging form of violence among children and adolescents. Bullying is defined as unwanted, aggressive behavior, which involves a real or perceived social power imbalance. One in 10 public schools reports at least one case of serious violent crime, such as aggressive bullying,…
Descriptors: Bullying, Victims, Suspension, Middle School Students
Ashley Harrison-Pavlik; Mary Louise Cashel – Psychology in the Schools, 2025
Cyberbullying is a significant problem throughout the United States. In response to cyberbullying, youth may choose to engage in or avoid help-seeking behaviors, and their individual characteristics such as age, gender, frequency of victimization, and race and ethnicity may influence those decisions. School-level variables, including antibullying…
Descriptors: Bullying, Computer Mediated Communication, Help Seeking, Individual Characteristics
Lyndsay N. Jenkins; Stephanie S. Fredrick; Jay'ana King – International Journal of Bullying Prevention, 2024
The five-step bystander intervention model (i.e., Notice, Interpret, Accept Responsibility, Know What to Do, Act) has been utilized to study intervention in traditional bullying, but not bullying bystander behavior in online contexts. Additionally, differences in how students of color and White students are involved in bystander behavior in…
Descriptors: Bullying, Computer Mediated Communication, Factor Structure, Audiences
Download full textQingyang Zhang; Rose E. Wang; Ana T. Ribeiro; Dorottya Demszky; Susanna Loeb – Annenberg Institute for School Reform at Brown University, 2025
Educator attention is critical for student success, yet how educators distribute their attention across students remains poorly understood due to data and methodological constraints. This study presents the first large-scale computational analysis of educator attention patterns, leveraging over 1 million educator utterances from virtual group…
Descriptors: Attention, Teacher Behavior, Equal Education, Gender Differences
Jamiu Adekunle Idowu – International Journal of Artificial Intelligence in Education, 2024
This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…
Descriptors: Algorithms, Dropouts, Prediction, Academic Achievement
Kreski, Noah T.; Chen, Qixuan; Olfson, Mark; Cerdá, Magdalena; Martins, Silvia S.; Mauro, Pia M.; Branas, Charles C.; Rajan, Sonali; Keyes, Katherine M. – Journal of School Health, 2022
Background: Being bullied online is associated with being bullied in school. However, links between online bullying and violence-related experiences are minimally understood. We evaluated potential disparities in these associations to illuminate opportunities to reduce school-based violence. Methods: We used five cohorts of Youth Risk Behavior…
Descriptors: Bullying, Computer Mediated Communication, Violence, Aggression
Nicole K. Watkins; Royette T. Dubar – Journal of American College Health, 2024
Objective: This study examined socio-demographic characteristics and COVID-19 experiences as concurrent predictors of perceived familial and friend social support, social media use, and socio-emotional motives for electronic communication during the COVID-19 pandemic among college students. Participants: Participants were 619 emerging adults…
Descriptors: Student Characteristics, COVID-19, Pandemics, Student Experience
Henriette R. Steinvik; Amanda L. Duffy; Melanie J. Zimmer-Gembeck – International Journal of Bullying Prevention, 2024
A lack of empathy for victimized individuals has been cited as a reason for why bystanders fail to intervene when they witness bullying. However, limited research has addressed how different empathic and compassionate responses could account for diverse bystander behaviors. In this study, we investigated the unique associations of empathic…
Descriptors: Audiences, Barriers, Prosocial Behavior, Memory
Barbero, Colleen; Vagi, Kevin J.; Clayton, Heather; Holland, Kristin; Hertz, Marci; Krause, Kathleen H.; Brittingham, Rochelle; Bunge, Stephanie; Saka, Susan M.; Marchessault, Nadine; Hynes, Nikardi; Green, Dan; Spell, Les; Monteiro, Karine; Murray, Kristen; Reilly-Chammat, Rosemary; Tignor, Lisha; Mercado, Melissa C. – Journal of School Health, 2023
BACKGROUND: Research shows associations between bullying victimization and substance use for teens. However, more research about this relationship for younger adolescents and across race/ethnicity is needed. METHODS: Prevalence and pooled logistic regression analyses of 2019 Middle School Youth Risk Behavior Survey data from 13 states (N = 74,059…
Descriptors: Bullying, Victims, Substance Abuse, National Surveys
McCabe, Ellen M.; Strauss, Shiela M. – Journal of School Nursing, 2022
Although adolescent females with asthma are at increased risk for bullying, relationships between bullying at school and electronic bullying and demographics, mental health issues, and substance use have not specifically been studied in these young women. The purpose of this research was to examine such relationships among adolescent females with…
Descriptors: At Risk Persons, Adolescents, Females, Diseases
Brown, Lisa R.; Guzman-Foster, Sandra L. – American Association for Adult and Continuing Education, 2022
Misogynoir--expressed gender bias and racial discrimination against Black women--studies have been limited in contemporary adult education empiricism. This mixed methods pilot used social media posts, interviews, and an online survey to examine the phenomenon. The research volunteers centered on American Descendants of Slavery (ADOS), aged 19 to…
Descriptors: Citizen Participation, Computer Mediated Communication, Gender Bias, Racial Discrimination
Sabzehzar, Amin – ProQuest LLC, 2022
Biases in online platforms pose a threat to social inclusion. I examine the influence of social biases on online platforms. In my dissertation, I conduct empirical studies on online crowdfunding platforms (prosocial lending and educational crowdfunding) to investigate the influence of funders' or recipients' social backgrounds on the funding…
Descriptors: Social Media, Self Concept, Prosocial Behavior, Cultural Influences
Mandelbaum, Jennifer; Myers, Kristian G.; Brightharp, Courtney L.; Hicks, Shauna P. – Health Education & Behavior, 2023
Diabetes and heart disease are among the leading causes of death and disability in the United States, and these conditions are especially prevalent in the South. South Carolina's persistent racial and socioeconomic disparities in chronic disease outcomes are well-documented, yet little is known about how health care practices in medically…
Descriptors: Diabetes, Heart Disorders, Socioeconomic Status, Racial Differences
Rachel Baker; Thomas Dee; Brent Evans; June John – Grantee Submission, 2022
Asynchronous, online interactions are increasingly common, particularly in education, but relatively little is known about the influence of social identity in these environments. We test for the presence of race/place-of-origin and gender biases among students and instructors in asynchronous online post secondary classes by measuring responses to…
Descriptors: Racism, Gender Bias, Online Courses, Equal Education
Afterschool Alliance, 2022
Afterschool programs inspire kids to learn, help them make better decisions, and give parents peace of mind. Throughout the pandemic, 21st Century Community Learning Centers have kept kids engaged and learning and met the needs of families nationwide. But the demand for these programs far exceeds the supply. 21st Century Community Learning Centers…
Descriptors: After School Programs, Community Centers, Summer Programs, Student Needs
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