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Showing 1 to 15 of 38 results Save | Export
James R. Izzo – ProQuest LLC, 2024
Curriculum-based measurements (CBM) are used in schools to screen students for academic difficulties. Oral reading fluency curriculum-based measures (CBM-R) are the most popular, yet several studies have identified predictive bias in CBM-Rs in relation to key variables (e.g., race, sex). Despite a massive increase in the use of these measures as…
Descriptors: Predictor Variables, Bias, Curriculum Based Assessment, Reading Tests
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Del Toro, Juan; Wang, Ming-Te – American Educational Research Journal, 2023
Police stops often perpetuate racial disparities in academic outcomes, yet few studies have examined factors that mitigate these negative consequences. Using two longitudinal studies (Study 1: n = 483, M-age = 12.88, 53% males; Study 2: n = 131, M-age = 15.11, 34% males), this article tests whether parental and school cultural socialization…
Descriptors: African Americans, Police, Racial Differences, Learner Engagement
Richard E. Mattison; Adrienne D. Woods; Paul L. Morgan; George Farkas; Marianne M. Hillemeier – Journal of Learning Disabilities, 2023
We examined to what extent subgroups of students identified with learning disabilities (LDs; N = 630) in the Early Childhood Longitudinal Study, Kindergarten Class of 1998 to 1999 (ECLS-K): 1998 national longitudinal study displayed heterogeneity in longitudinal profiles of reading and mathematics achievement from first to eighth grades.…
Descriptors: Students with Disabilities, Learning Disabilities, Reading Achievement, Mathematics Achievement
Jonathan D. Schweig; Andrew McEachin; Megan Kuhfeld; Lou Mariano; Melissa Diliberti – Grantee Submission, 2022
As students return to in-person instruction in the 2021-2022 school year, local education agencies (LEAs) must develop resource allocation strategies to support schools in need. Federal programs have provided resources to support restart and recovery. However, there is little consensus on how LEAs can target resources to support those schools most…
Descriptors: COVID-19, Pandemics, Resource Allocation, Educational Needs
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Jonathan D. Schweig; Andrew McEachin; Megan Kuhfeld; Lou Mariano; Melissa Diliberti – Educational Assessment, 2022
As students return to in-person instruction in the 2021-2022 school year, local education agencies (LEAs) must develop resource allocation strategies to support schools in need. Federal programs have provided resources to support restart and recovery. However, there is little consensus on how LEAs can target resources to support those schools most…
Descriptors: COVID-19, Pandemics, Resource Allocation, Educational Needs
Angela Johnson; Megan Kuhfeld; Greg King – Annenberg Institute for School Reform at Brown University, 2020
This study presents a framework that uses academic trajectories in the middle grades for identifying students in need of intervention and providing targeted support. We apply a set of academic college readiness benchmarks to rich longitudinal data for more than 360,000 students in 5900 schools across 49 states and the District of Columbia. In both…
Descriptors: Middle School Students, Academic Achievement, Learning Trajectories, College Readiness
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Alegrado, Alenamie; Winsler, Adam – Journal of Research in Music Education, 2020
Researchers attempting to show that music has positive effects on children need to understand and control for preexisting differences between those who do and do not select into musical participation in the first place. Within a large-scale, communitywide, prospective, longitudinal study of predominantly low-income, ethnically diverse students (N…
Descriptors: Music Education, Student Characteristics, Course Selection (Students), Elective Courses
Borman, Geoffrey D.; Rozek, Christopher S.; Pyne, Jaymes; Hanselman, Paul – Grantee Submission, 2019
The period of early adolescence is characterized by dramatic changes, simultaneously affecting physiological, psychological, social, and cognitive development. The physical transition from elementary to middle school can exacerbate the stress and adversity experienced during this critical life stage. Middle school students often struggle to find…
Descriptors: Early Adolescents, Middle School Students, Grade 6, Intervention
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Hung, Man; Smith, William A.; Voss, Maren W.; Franklin, Jeremy D.; Gu, Yushan; Bounsanga, Jerry – Education and Urban Society, 2020
This study examined factors contributing to achievement gaps between White and African American students in 2,868 diverse school districts across the United States. Using pooled data across five school years (2008-2013), six grade levels (grades third to eighth, which typically include students aged 8 years-14 years) and two different subjects…
Descriptors: Achievement Gap, White Students, African American Students, Racial Differences
Kloos, Heidi – Online Submission, 2019
A data set from an urban Midwestern school district was mined to explore how the technology-based reading enrichment known as Mindplay Virtual Reading Coach (MVRC) affects children's performance on the English Language Arts (ELA) Standards state-wide assessment (N = 6098 students from Grades 3 to 9). ELA data from two times points were available,…
Descriptors: Poverty, Urban Schools, Language Arts, Educational Technology
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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
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Koon, Sharon; Davis, Marla – Regional Educational Laboratory Southeast, 2019
Description: Effective with the 2014/15 school year, Mississippi adopted new academic standards and courses aligned to these new standards. The new courses included both a subject-specific mathematics sequence (that is, algebra I, geometry, and algebra II) as well as an integrated mathematics sequence (that is, integrated I, integrated II, and…
Descriptors: Mathematics Instruction, Mathematics Achievement, Grade 6, Grade 7
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Robinson, Christie M.; Babo, Gerard – AASA Journal of Scholarship & Practice, 2014
This study examined the influence of student demographic variables (i.e., SES, race, attendance, and gender) and the school variable of placement in an inclusion setting on the academic achievement of general education students in grades 6, 7, and 8 (n = 1200) in an urban school district as measured by the 2010-2011 NJASK, the state's annual…
Descriptors: Inclusion, Academic Achievement, Correlation, Multiple Regression Analysis
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Quinn, David M.; Cooc, North – Educational Researcher, 2015
Research on science achievement disparities by gender and race/ethnicity often neglects the beginning of the pipeline in the early grades. We address this limitation using nationally representative data following students from Grades 3 to 8. We find that the Black-White science test score gap (-1.07 SD in Grade 3) remains stable over these years,…
Descriptors: Achievement Gap, Science Achievement, Gender Differences, Racial Differences
Creasy, Lydia A. – ProQuest LLC, 2012
This study examined the correlations between gifted students' self-image, academic achievement, and number of years enrolled in the gifted programming. In addition, the study examined the relationships between gifted students' educational placement, race, and gender with self-image. Study participants were gifted students in third through eighth…
Descriptors: Academically Gifted, Self Concept, Academic Achievement, Student Placement
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