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No Child Left Behind Act 20011
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Munise Seçkin Kapucu; I?brahim Özcan; Hülya Özcan; Ahmet Aypay – International Journal of Technology in Education and Science, 2024
Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…
Descriptors: Secondary School Students, Science Achievement, Artificial Intelligence, Foreign Countries
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Adelson, Jill L.; Dickinson, Emily R.; Cunningham, Brittany C. – Educational Researcher, 2016
This brief examined the patterns of reading achievement using statewide data from all students (Grades 3-10) in multiple years to examine gaps based on student, school, and district characteristics. Results indicate reading achievement varied most between students within schools and that students' prior achievement was the strongest predictor of…
Descriptors: Reading Achievement, Achievement Gap, School Districts, Institutional Characteristics
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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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Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Maczuga, Steve – Educational Researcher, 2016
We examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools. To do so, we estimated multilevel growth models that included as predictors children's own general knowledge, reading and mathematics achievement, behavioral self-regulation, sociodemographics, other child-…
Descriptors: Science Instruction, Science Achievement, Achievement Gap, Regression (Statistics)
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Peugh, James L. – Journal of Early Adolescence, 2014
Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1 errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few…
Descriptors: Early Adolescents, Research, Hierarchical Linear Modeling, Data Analysis
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Adzima, Kerry – Journal of School Choice, 2014
As charter school waitlists around the United States continue to grow, it is important to analyze the factors that are possibly attracting parents away from the traditional public school setting and into the charter school system. Using waitlist data from Pennsylvania to proxy for parental valuation, the article examines numerous factors that…
Descriptors: Charter Schools, Parent Attitudes, Performance Factors, Data Analysis
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What Works Clearinghouse, 2011
The study examined the effect of charter school attendance on annual student achievement growth in math and reading. The research described in this report meets WWC evidence standards with reservations. WWC Rating Strengths: The study matched charter school students with similar students in traditional public schools using demographic and academic…
Descriptors: Mathematics Achievement, Reading Achievement, Charter Schools, Attendance
Dhuey, Elizabeth; Smith, Justin – Society for Research on Educational Effectiveness, 2012
In recent decades, much attention has been focused on student achievement in the United States. Many policy initiatives have been attempted in an effort to bolster achievement, including increasing school revenue, decreasing class size, expanding early childhood programs, and introducing vouchers and charter schools, to name a few, but not all of…
Descriptors: Academic Achievement, Principals, Elementary School Students, Administrator Role
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Morgan, Paul L.; Farkas, George; Wu, Qiong – Journal of Learning Disabilities, 2009
The investigators used data from the "Early Childhood Longitudinal Study-Kindergarten Cohort" (ECLS-K) to estimate whether and to what extent the timing and persistence of mathematics difficulties (MD) in kindergarten predicted children's first through fifth grade math growth trajectories. Results indicated that children persistently…
Descriptors: Learning Problems, Mathematics Education, Persistence, Kindergarten
Lawson, Evelyn Roshonn – ProQuest LLC, 2010
The purpose of this study was to investigate the relationship between teacher attitude toward Black English and student achievement in reading. For this study, 61 teachers of reading or English/Language Arts in grades 3-6 were surveyed. These teachers, whose informed consent letters indicated a willingness to participate, were selected from 17…
Descriptors: Black Dialects, Negative Attitudes, Language Attitudes, Reading Achievement
Berg, Juliette; Torrente, Catalina; Aber, J. Lawrence; Jones, Stephanie M.; Brown, Joshua L. – Society for Research on Educational Effectiveness, 2010
The 4Rs Program (Reading, Writing, Respect and Resolution) is a "dual focus" whole school universal intervention designed to promote literacy development and social-emotional learning, that is currently being rigorously evaluated using a school-randomized trial of 18 elementary schools (9 intervention, 9 control) in New York City. The…
Descriptors: Intervention, Educational Change, Data, Program Evaluation
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Holland, Jason; McIntosh, David; Huffman, Lisa – Journal of Psychoeducational Assessment, 2004
The purpose of this study was to explore the relationship of three subskills associated with word decoding. The skills utilized for this study were phonological, rapid automatized naming (RAN), and orthographic processing. To do this, six separate models were utilized to define different ways that these three subskills (represented as factors)…
Descriptors: Reading Difficulties, Structural Equation Models, Phonological Awareness, Psychoeducational Methods