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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
Vogler, Kenneth E.; Schramm, Susan; Allan, Audrey; Parler, Jake D. – Journal of Educational Research and Practice, 2020
This study investigated the relationship among the variables instructional time configuration, gender, race/ethnicity, and poverty to predict the academic performance of seventh-grade students on a state-mandated social studies accountability test. Results of 24,919 seventh-grade student social studies test scores from 117 middle schools, as well…
Descriptors: Time Factors (Learning), Time on Task, Race, Ethnicity
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
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
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
Part II of the Houston Longitudinal Study on the Transition to College and Work (HLS) examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston Independent School District (HISD) and tracked two…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
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
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
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
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
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
Examining the Link between Stress Events and Prosocial Behavior in Adolescents: More Ordinary Magic?
Larson, Andrea; Moses, Tally – Youth & Society, 2017
Scholarship regarding adolescent resilience has typically defined resilience as the absence of negative outcomes rather than the existence of positive outcomes. This study drew on the challenge model of resilience, which anticipates a curvilinear relationship between stress exposure and adaptive functioning, to test whether adolescents reporting…
Descriptors: Correlation, Prosocial Behavior, Adolescents, Resilience (Psychology)
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