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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
Bhat, Zahoor Ahmad; Khan, Mahmood Ahmad; Rashid, Rukaya – Online Submission, 2022
The study attempts to know the extent of enrolment, and retention rate of tribal students at upper primary stage and provide a comparative picture of tribal with respect to gender and educational zones of Ganderbal district. Descriptive survey has been used in present study. Using Information Blank, the primary information about student enrolment…
Descriptors: Enrollment Trends, Tribes, Academic Persistence, School Holding Power
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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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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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Thurlow, Martha L.; Wu, Yi-Chen; Lazarus, Sheryl S.; Ysseldyke, James E. – Exceptionality, 2016
Federal regulations indicate that the achievement gap must be closed between subgroups, including the gap between special education and non-special education students. We explored the ways in which achievement trends are influenced by three methods of reporting (cross-sectional, cohort-static, and cohort-dynamic). We also investigated (a) the ways…
Descriptors: Special Education, Achievement Gap, Mathematics Achievement, Change
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Lessne, Deborah; Yanez, Christina – National Center for Education Statistics, 2016
This document reports data from the 2015 School Crime Supplement (SCS) to the National Crime Victimization Survey (NCVS). The Web Tables show the extent to which students with different personal characteristics report being bullied. Estimates include responses by student characteristics: student sex, race/ethnicity, grade, and household income.…
Descriptors: Bullying, Student Reaction, Crime, School Statistics
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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
New Meridian Corporation, 2020
The purpose of this report is to describe the technical qualities of the 2018-2019 operational administration of the English language arts/literacy (ELA/L) and mathematics summative assessments in grades 3 through 8 and high school. The ELA/L assessments focus on reading and comprehending a range of sufficiently complex texts independently and…
Descriptors: Language Arts, Literacy Education, Mathematics Education, Summative Evaluation
New Meridian Corporation, 2020
The purpose of this report is to describe the technical qualities of the 2018-2019 operational administration of the English language arts/literacy (ELA/L) and mathematics assessments in grades 3 through 8 and high school. New Meridian, in coordination with multiple states and vendors, developed an alternate form of the summative assessment to…
Descriptors: Language Arts, Literacy Education, Mathematics Education, Summative Evaluation
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Genao, Soribel – Education and Urban Society, 2015
Students across the nation are encountering more and more difficulties in their transition to high school. Not only are a significant number of students dropping out, but those who stay are also leaving high school without the skills they need to become productive citizens. Several intervention strategies are recommended to help students make a…
Descriptors: Data Collection, Middle School Students, High School Students, Principals
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DeVoe, Jill; Murphy, Christina – National Center for Education Statistics, 2011
In school year 2008-09, some 7,066,000 U.S. students ages 12 through 18, or 28.0 percent of all such students, reported they were bullied at school, and about 1,521,000, or 6.0 percent, reported they were cyber-bullied anywhere (i.e., on or off school property). These Web Tables use data from the 2009 School Crime Supplement (SCS) to the National…
Descriptors: Elementary School Students, Middle School Students, High School Students, Bullying
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Reading Comprehension, Reading Achievement, Elementary School Students, Secondary School Students
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Response to Intervention, Achievement Gains, High Stakes Tests, Prediction
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Quellmalz, Edys S.; Timms, Michael J.; Silberglitt, Matt D.; Buckley, Barbara C. – Journal of Research in Science Teaching, 2012
This article reports on the collaboration of six states to study how simulation-based science assessments can become transformative components of multi-level, balanced state science assessment systems. The project studied the psychometric quality, feasibility, and utility of simulation-based science assessments designed to serve formative purposes…
Descriptors: State Programs, Educational Assessment, Simulated Environment, Grade 6
Council of the Great City Schools, 2015
This report measures trends in performance among urban schools receiving federal School Improvement Grant (SIG) awards as part of the American Recovery and Reinvestment Act of 2009 (ARRA). The Council of the Great City Schools aims to document how member districts of the Council of the Great City Schools implemented SIG and specifically what…
Descriptors: Grants, Federal Legislation, Federal Aid, Educational Improvement
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