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Mistie M. Parsons – ProQuest LLC, 2024
Since at least the publication of "A Nation at Risk" (1983), the United States has used competition and top-down approaches in seeking student achievement in the country. Twenty years ago, to create a pathway for the lowest achieving schools in the country to have a clear path for improvement, the turnaround school movement was…
Descriptors: School Turnaround, Females, Educational Improvement, Gender Bias
Nicholas M. Perez; Aldo Cimino – Journal of School Violence, 2024
Student hazing activities on American college campuses have resulted in numerous deaths reported in the news media. Despite regular reports on hazing-related fatalities, no research has examined how these deaths are reported. The current study aims to bridge this research gap by analyzing articles covering hazing deaths in the U.S. between 1994…
Descriptors: News Media, Trend Analysis, Hazing, Death
Florian Keusch; Paulina K. Pankowska; Alexandru Cernat; Ruben L. Bach – Field Methods, 2024
Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook…
Descriptors: Data Collection, Research Methodology, Information Dissemination, Social Media
Anne Valauri – English Teaching: Practice and Critique, 2024
Purpose: Early childhood and early elementary are key times when children develop internal and external antifat attitudes; thus, it is necessary to better understand the available children's literature around fatness. This paper aims to examine children's picture books with fat protagonists to better understand the current landscape of children's…
Descriptors: Childrens Literature, Picture Books, Obesity, Social Bias
Huda Essa – ASCD, 2024
In "The Consciously Unbiased Educator," cultural proficiency expert and former teacher Huda Essa helps educators uncover and surmount the limitations of unconscious biases--stereotypes that form below the surface of our awareness, making them harder to detect. Although these biases are not formed with the intent to do harm, if they are…
Descriptors: Cultural Awareness, Teacher Attitudes, Stereotypes, Social Bias
Celina Bernice Reed – ProQuest LLC, 2024
The purpose of this study was to examine the lived experiences of Black/ African American women aspiring, serving, or having previously served in the role of Superintendent of Schools in the State of Texas. Additionally, the study investigated the perceived barriers and challenges that impacted the participant's ascent to the superintendency, and…
Descriptors: African Americans, Women Administrators, Superintendents, Barriers
Jill Fenton Taylor; Ivana Crestani – Qualitative Research Journal, 2024
Purpose: This paper aims to explore how an academic researcher and a practitioner experience scepticism for their qualitative research. Design/methodology/approach: The study applies Olt and Teman's new conceptual phenomenological polyethnography (2019) methodology, a hybrid of phenomenology and duoethnography. Findings: For the…
Descriptors: Qualitative Research, Phenomenology, Ethnography, Bias
Yang Bai; Yijie Wang; Bairen Ding – European Journal of Education, 2024
Empirical research conducted in numerous countries provides substantial evidence supporting the pivotal role of cultural capital in comprehending educational inequality. However, the operation of cultural capital varies across certain regions in East Asia due to distinct educational systems. This study integrates micro-level mechanisms of cultural…
Descriptors: Cultural Capital, Foreign Countries, Equal Education, Bias
František Bartoš; Maximilian Maier; Eric-Jan Wagenmakers; Franziska Nippold; Hristos Doucouliagos; John P. A. Ioannidis; Willem M. Otte; Martina Sladekova; Teshome K. Deresssa; Stephan B. Bruns; Daniele Fanelli; T. D. Stanley – Research Synthesis Methods, 2024
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (199/12,707), psychology (605/23,563), and economics (327/91,421). Our results indicate that…
Descriptors: Publications, Selection, Bias, Meta Analysis
Jillian Kelly – ProQuest LLC, 2024
This study investigates the impact of gender bias on female superintendents' careers on Long Island. Despite comprising the majority of teachers, women hold a significantly lower proportion of leadership positions. The research employed a mixed-method approach with quantitative and qualitative phases to explore this disparity. The findings reveal…
Descriptors: Females, Superintendents, Disproportionate Representation, Gender Bias
Jennifer Greif Green; Manuel Ramirez; Gabriel J. Merrin; Melissa K. Holt – School Mental Health, 2024
Bias-based (also called identity-based) harassment refers specifically to a subset of peer victimization that targets a person's identity, such as their gender identity, religion, immigration status, sexual orientation, race, or ethnicity. Research indicates that bias-based harassment is a particularly devastating form of victimization that has an…
Descriptors: Youth, Adolescents, Bias, Bullying
Rachel Moylan; Jillianne Code – Teachers and Teaching: Theory and Practice, 2024
Algorithmic systems shape every aspect of our daily lives and impact our perceptions of the world. The ubiquity and profound impact of algorithms mean that algorithm literacy--awareness and knowledge of algorithm use, and the ability to evaluate algorithms critically and exercise agency when engaging with algorithmic systems--is a vital competence…
Descriptors: Algorithms, Teacher Competencies, Digital Literacy, Knowledge Level
Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
Paik, Susan J.; Kunisaki, Lindsey T.; Tran, Vinh Q.; Marshall-Harper, Kenya R. – European Journal of Training and Development, 2023
Purpose: The purpose of this study is to discuss the significance of "contextual factors" on the talent development of underserved populations. Understanding the "context" and background of an individual provides greater insight into their life experiences (Paik, 2013). Race, class and gender, in particular, play a role in…
Descriptors: Context Effect, Scientists, Artists, Talent Development
Shaw, Mia S.; Coleman, James Joshua; Thomas, Ebony Elizabeth; Kafai, Yasmin B. – Journal of the Learning Sciences, 2023
Background: Scholarship demonstrates that Black girls' capacities to imagine possible futures in computing are constrained by narratives of white masculinity and misogynoir embedded within computing. Building on race critical code studies and identity-as-narrative theories, we examine "restorying" through Black womanist storytelling…
Descriptors: African Americans, Females, Racism, Gender Bias

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