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Donna Baumgardner; Stephanie Atchley; Holly Lambert – International Society for Technology, Education, and Science, 2023
The number of students leaving traditional face-to-face public schools and moving to online school environments continues to grow. The National Center for Educational Statistics reported that almost 300,000 K12 students were served in a fully online environment for the 2019-2020 school year (US Department of Education, n.d.). This study…
Descriptors: Special Education, Academic Achievement, Comparative Analysis, Online Courses
Necmi Coskun – ProQuest LLC, 2021
In this quantitative study, public charter schools were compared to traditional public schools in New Jersey in their academic achievement on the statewide standardized tests. These schools' academic achievements are assessed based on their students' proficiency and growth scores in English Language Arts/Literacy and Mathematics in grades 4-7.…
Descriptors: Public Schools, Elementary Secondary Education, Traditional Schools, Charter Schools
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Kuo, Chingchih – Gifted Education International, 2022
To determine if a person is gifted or not, the government sets the criteria of identification since giftedness is an abstract concept. However, the standard has always been decided and affected by the attitudes of the education authority and the allocation of resources. The opportunities for some potential learners to participate in gifted…
Descriptors: Gifted, Talent Development, Identification, Resource Allocation
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Xu, Zhihong; Wijekumar, Kausalai; Ramirez, Gilbert; Hu, Xueyan; Irey, Robin – British Journal of Educational Technology, 2019
This meta-analysis examined the effectiveness of improving reading comprehension for students in K-12 classrooms using intelligent tutoring systems (ITSs), a computer-based learning environment that provides customizable and immediate feedback to the learner. Nineteen studies from 13 publications incorporating approximately 10 000 students were…
Descriptors: Reading Comprehension, Meta Analysis, Intelligent Tutoring Systems, Effect Size
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Koran, Jennifer; Kopriva, Rebecca J. – Applied Measurement in Education, 2017
Providing appropriate test accommodations to most English language learners (ELLs) is important to facilitate meaningful inferences about learning. This study compared teacher large-scale test accommodation recommendations to those from a literature- and practitioner-grounded accommodation selection taxonomy. The taxonomy links student-specific…
Descriptors: English Language Learners, Testing Accommodations, Comparative Analysis, Taxonomy
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Hsin, L.; Rapaport, A.; Osman, D.; Kilborn, M.; Pierson, A.; Garrett, R. – Regional Educational Laboratory Southwest, 2022
These are the appendixes for the report, "English Proficiency and the Pandemic: How Texas English Learner Students Fared during the COVID-19 Pandemic. REL 2023-144." This study examined levels of English proficiency before and during the COVID-19 pandemic among English learner students in grades 3-12 in Texas. In 2020-2021, nearly…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, English Language Learners
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Parcerisa, Lluís; Verger, Antoni; Pagès, Marcel; Browes, Natalie – Education Policy Analysis Archives, 2022
In recent decades, the governance of educational systems has experienced dramatic changes in many countries. Schools have been given more autonomy whilst being held increasingly accountable at the central level through standardized testing and other forms of external evaluation. The mechanisms of performance-based accountability (PBA) and the…
Descriptors: Case Studies, Professional Autonomy, Comparative Analysis, Performance Based Assessment
Menter, Ian, Ed. – Springer, 2023
This handbook presents a timeless, comprehensive, and up-to-date resource covering major issues in the field of teacher education research. In a global landscape where migration, inequality, climate change, political upheavals and strife continue to be broadly manifest, governments and scholars alike are increasingly considering what role…
Descriptors: Guides, Teacher Education, Educational Research, Immigration
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Lam, Kelly Ka Lai; Zhou, Mingming – Journal of Educational Psychology, 2022
This review examined the relations between grit and academic achievement based on a meta-analysis of 137 studies yielding 156 dependent samples (N = 285,331). Using the robust variance estimation, we found that the correlations of overall grit level with academic achievement were generally weak to moderate (weighted r = 0.19). The correlation of…
Descriptors: Personality Traits, Academic Persistence, Academic Achievement, Correlation
Maddocks, Danika L. S. – Gifted Child Quarterly, 2018
Students who are gifted and have a learning disability (GLD) may not be identified, in part because of disagreement regarding appropriate identification criteria. In this study, suggested GLD identification criteria were applied to a nationally representative sample of school-age students to determine the number and characteristics of students…
Descriptors: Identification, Academically Gifted, Learning Disabilities, Comparative Analysis
Shin, Jaehyun – ProQuest LLC, 2017
The purpose of this study was to examine the validity of two widely used Curriculum-Based Measurement (CBM) in reading--oral reading and maze task--in relation to reading comprehension on state tests using a meta-analysis. A total of 61 studies (132 correlations) were identified across Grades 1 to 10. A random-effects meta-analysis was conducted…
Descriptors: Curriculum Based Assessment, Oral Reading, Cloze Procedure, Reading Comprehension
Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Exceptional Children, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
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Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Grantee Submission, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Backes, Ben; Cowan, James – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
Nearly two dozen states now administer online exams. These tests have real consequences: their results feed into accountability systems, which have been used for more than a decade to hold schools and districts accountable for their students' learning. We examine the rollout of computer-based testing in Massachusetts over 2 years to investigate…
Descriptors: Computer Assisted Testing, Academic Achievement, Standardized Tests, Achievement Tests
Fahle, Erin M.; Reardon, Sean F. – Stanford Center for Education Policy Analysis, 2017
This paper provides the first population-based evidence on how much standardized test scores vary among public school districts within each state and how segregation explains that variation. Using roughly 300 million standardized test score records in math and ELA for grades 3 through 8 from every U.S. public school district during the 2008-09 to…
Descriptors: Standardized Tests, Scores, Comparative Analysis, Public Schools
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