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Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Tori A. Porter – ProQuest LLC, 2024
This critical narrative inquiry examined the social and academic experiences of 20 Black transgender students currently or formerly enrolled in 4-year colleges and universities in the United States. Employing AntiBlack transness and plantation politics as my analytical framework, I demonstrate the insidious impact of plantation politics on Black…
Descriptors: African American Students, LGBTQ People, Sexual Identity, College Students
Eleanor D. Brown; Steven J. Holochwost; Dennie Palmer Wolf; Alyssa A. Allen; Mallory L. Garnett; Blanca Velazquez-Martin; Suzanne Varnell; Jessa L. Malatesta – Mind, Brain, and Education, 2024
Access to high-quality early music education programs may mitigate the effects of poverty on the hypothalamic-pituitary-adrenal (HPA) axis, but fundamental questions remain about the role of early educators in conveying these benefits. In the current study, we measured the basal or resting cortisol levels of 76 children (M[subscript age] = 4.17…
Descriptors: Music Education, Music Teachers, Scaffolding (Teaching Technique), Preschool Education
Susana Sánchez Castro; María Ángeles Pascual Sevillano; Javier Fombona Cadavieco – Technology, Knowledge and Learning, 2024
The planned systematized design of the use of serious games in the classroom is presented as a strategy to optimize learning. In this framework, Learning Analytics represents stealth assessment and follow-up method, and a way to personalize such games by simplifying their application for teachers. The aim of this research was to analyze the impact…
Descriptors: Learning Analytics, Linguistic Competence, At Risk Students, Teaching Methods
Lisa Smith – Ethnography and Education, 2024
The sifting and sorting mechanisms of Australia's education system continue to work to the detriment of groups put at a disadvantage. For mainstream schools serving working-class communities in particular, the rejection of the offers and advantages of schooling continue to result in differential class consequences and inequalities for…
Descriptors: Foreign Countries, Secondary School Students, Working Class, Low Income Students
Juan Á. Simón-Piqueras; David González-Cutre; Luis M. García López – Journal of Teaching in Physical Education, 2024
Purpose: The aim of this study was to examine whether, drawing on the perception of their coaches, the application of the pedagogical model of sport education could be associated with satisfying the basic psychological needs of children from socially vulnerable backgrounds. Method: A 36-session sport education season was implemented within a…
Descriptors: Athletics, At Risk Students, Preadolescents, Disadvantaged Youth
Jason Gorgia – ProQuest LLC, 2024
This study examined the perceptions of educators (i.e., math teachers, administrators, and others) for insight into the absence of acceleration as a common pedagogical strategy in mathematics, despite longstanding research supporting the practice for students gifted in math and the interest frequently articulated by policymakers and educators in…
Descriptors: Teacher Attitudes, Acceleration (Education), Academically Gifted, Mathematics Education
Harsimran Singh; Banipreet Kaur; Arun Sharma; Ajeet Singh – Education and Information Technologies, 2024
Today, the main aim of educational institutes is to provide a high level of education to students, as career selection is one of the most important and quite difficult decisions for learners, so it is essential to examine students' capabilities and interests. Higher education institutions frequently face higher dropout rates, low academic…
Descriptors: College Students, At Risk Students, Academic Achievement, Artificial Intelligence
Olivia Schimp – ProQuest LLC, 2024
Response to Intervention (RtI) is a tiered system that is designed to provide varied levels of support to students that may be at-risk for learning disabilities. These interventions are adjusted for students based on their progress and associated data. For students that are nonresponsive to interventions over time, a special education evaluation…
Descriptors: Teacher Attitudes, Response to Intervention, Special Education, At Risk Students
Luis Angel Sandoval – ProQuest LLC, 2024
The number of students with mental health challenges has increased significantly in public schools during the past 10 years. Despite school and community efforts many students remain underserved, specifically at-risk populations. At-risk youth are more likely to experience adverse life outcomes such as performing poorly in school, dropping out of…
Descriptors: At Risk Students, Specialization, Academic Support Services, Student Personnel Services
Wendy Wei – AERA Open, 2024
Using statewide administrative data from a sample of children enrolled in public prekindergarten (pre-K) programs in Massachusetts, I examined heterogeneity in children's absenteeism patterns from pre-K to Grade 3 and linked these patterns to their Grade 3 academic outcomes. After latent class growth analysis, six absenteeism patterns emerged. The…
Descriptors: Attendance Patterns, Preschool Children, Elementary School Students, Primary Education
A. J. Brinkley – British Journal of Educational Psychology, 2024
Background: Physical activity and modes of sport are widely adopted to promote health, wellbeing, behavioural outcomes and educational attainment in young people excluded from education. However, little is known about the physical activity or sports involvement of excluded young people or the role of participation on predictors and outcomes…
Descriptors: Physical Activity Level, Athletics, Student Participation, Foreign Countries
Shawn Maurice McGuire Sr. – ProQuest LLC, 2024
This dissertation examined educational inequities exacerbated by disparities in technology and internet access in Title I schools. The global influence of information communication technologies on educational delivery, especially during the COVID-19 pandemic, has highlighted critical issues in technology access. The shift to remote learning…
Descriptors: Educational Technology, Internet, Access to Computers, At Risk Students
David Palank – ProQuest LLC, 2024
The COVID-19 pandemic of 2020-2021 was a life altering phenomenon for educators across the United States. Schools and teachers had to transform their teaching practices practically overnight. Education in most schools across the country conducted distance learning in some capacity. A demographic group that was affected was economically…
Descriptors: Low Income Students, Economically Disadvantaged, Middle School Students, Hispanic American Students
Madhumita Banerjee; Han Zhang – Journal of Educators Online, 2024
This study uses a logistic regression model to analyze survey data (n = 341) and predict factors influencing online course success for underserved and academically at-risk undergraduate students at a small, broad access, four-year, public Midwestern university. Three blocks of predictor variables, demographic (first generation, low income,…
Descriptors: Student Characteristics, Online Courses, Academic Achievement, Minority Group Students

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