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Daucourt, Mia C.; Erbeli, Florina; Little, Callie W.; Haughbrook, Rasheda; Hart, Sara A. – Scientific Studies of Reading, 2020
According to the Multiple Deficit Model, comorbidity results when the genetic and environmental risk factors that increase the liability for a disorder are domain-general. In order to explore the role of domain-general etiological risk factors in the co-occurrence of learning-related difficulties, the current meta-analysis compiled 38 studies of…
Descriptors: Learning Problems, Attention Deficit Hyperactivity Disorder, Reading Skills, Mathematics Skills
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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
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