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Peters, Scott J.; Rambo-Hernandez, Karen; Makel, Matthew C.; Matthews, Michael S.; Plucker, Jonathan A. – AERA Open, 2019
Educators have sought to understand and address the disproportional representation of students from certain student subgroups in gifted education. Most gifted identification decisions are made with national comparisons where students must score above a certain percentage of test takers. However, this approach is not always consistent with the…
Descriptors: Academically Gifted, Student Diversity, Racial Differences, Ethnicity
Tran, Bich Thi Ngoc; Wai, Jonathan; McKenzie, Sarah; Mills, Jonathan; Seaton, Dustin – Journal for the Education of the Gifted, 2022
We examined the state of Arkansas, empirically testing how focusing on high-achieving students using state tests might expand the pool of gifted identified students. From a broader sample of 173,133 students, we compared the degree to which students who were academically talented in the top 5% on third-grade state literacy and math assessments…
Descriptors: Academically Gifted, Talent Identification, High Achievement, Low Income Students
Daniel A. Long; D. Betsy McCoach; Del Siegle; Carolyn M. Callahan; E. Jean Gubbins – Grantee Submission, 2023
Is under-representation of Black, Latinx, English learners (EL), and students from economically challenging communities in gifted programs due to inequality in early academic achievement or bias in the gifted identification process? Using three-level multilevel logistic models, we examine the degree to which the disparities in gifted…
Descriptors: Academically Gifted, Gifted Education, Disproportionate Representation, Minority Group Students
Carman, Carol A.; Walther, Christine A. P.; Bartsch, Robert A. – Gifted Child Quarterly, 2020
The two most commonly used nonverbal tests for gifted identification, the Naglieri Nonverbal Ability Test (NNAT) and the Cognitive Abilities Test (CogAT) nonverbal battery, have not been compared in their newer versions to explore the effects of their use on the identification of underserved populations. Additionally, the effects of the use of…
Descriptors: Academically Gifted, Talent Identification, Cognitive Ability, Nonverbal Ability
Dyer, Melinda; Ward, Justin – Washington Office of Superintendent of Public Instruction, 2019
Currently, there are more than 1.35 million children and youth experiencing homelessness enrolled in schools across the nation. Students experiencing homelessness are more likely to suffer academically and are less likely to finish school when compared to their housed peers. Homeless students are less likely to engage in school, more likely to…
Descriptors: Homeless People, At Risk Students, School Districts, Enrollment
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Garrett, Rachel; Davis, Elisabeth; Eisner, Ryan – Regional Educational Laboratory Midwest, 2019
Cleveland Metropolitan School District (CMSD) has witnessed an increase in the number of English learner students in grades K-12 over recent years, with students coming from more diverse backgrounds in race/ethnicity, countries of origin, and native language. This requires more support from the district to meet diverse needs in terms of languages,…
Descriptors: Elementary Secondary Education, Grade 3, Grade 4, Grade 5
DeMaria, Paolo – Ohio Department of Education, 2016
Ohio is raising its expectations for what their students must learn and their schools must accomplish. Ohio's School Report Cards are one good way to determine if they are meeting their goals. There are many changes on this year's report card, changes that reflect the increased expectations Ohio has for its students and schools. So this year's…
Descriptors: Achievement Rating, Educational Quality, Schools, School Districts
Holmes, Venita R. – Houston Independent School District, 2018
This study hypothesized that HISD prekindergarten participation consistently correlated with better educational outcomes for students. Taking into account students' age differences through kindergarten enrollment, propensity score matching controlled for students' background characteristics. Three cohorts of students in this study were eligible or…
Descriptors: Language Proficiency, Mathematics Achievement, Reading Achievement, Language Arts
Rivera, Lonny J. – Ohio Department of Education, 2015
The Ohio School Report Cards for the 2014-2015 academic year give every school and district A-F letter grades on up to 10 measures of education quality. The measures fall under six areas of school responsibility, including student learning progress, graduation rate and reading mastery for our youngest students. The report card's easy-to-follow…
Descriptors: Achievement Rating, Educational Quality, Schools, School Districts