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Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2024
We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…
Descriptors: Classification, Accuracy, Validity, Criteria
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Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
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Van Norman, Ethan R.; Parker, David C. – Assessment for Effective Intervention, 2018
Recent simulations suggest that trend line decision rules applied to curriculum-based measurement of reading progress monitoring data may lead to inaccurate interpretations unless data are collected for upward of 3 months. The authors of those studies did not manipulate goal line slope or account for a student's level of initial performance when…
Descriptors: Comparative Analysis, Curriculum Based Assessment, Reading Tests, Progress Monitoring
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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
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Lin, Tzu-Jung; Chen, Jing; Lu, Monica; Sun, Jing; Purtell, Kelly; Ansari, Arya; Justice, Laura – Journal of Educational Psychology, 2023
The purpose of this study was to examine how classroom language contexts characterized by peer language skills and proportions of dual language learners (DLL) influenced English language development for DLL and non-DLL children. Participants were 2,131 children from 135 classrooms across preschool through Grade 3. Children were classified into…
Descriptors: Bilingualism, Bilingual Education, English (Second Language), Second Language Learning
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Stoker, Ginger; Arellano, Brenda; Lee Hoon, Dong – Regional Educational Laboratory Southwest, 2022
New Mexico's Every Student Succeeds Act state plan set the goal for all English learner students to attain English proficiency within five years. The Regional Educational Laboratory Southwest English Learners Research Partnership conducted this study to better understand progress toward English proficiency among American Indian English learner…
Descriptors: American Indian Students, English Language Learners, Instructional Program Divisions, English (Second Language)
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Fragkouli, Konstantina; Antoniou, Faye; Mouzaki, Angeliki; Ralli, Asimina M.; Kokkali, Vasiliki; Alexoudi, Kariofyllia – Reading & Writing Quarterly, 2022
The development of spelling skill is an intricate process for children with or at risk of Specific Learning Disabilities and requires targeted interventions. This problem exacerbates in the Greek orthographic system owning to its high complexity. The current study presents a novel spelling intervention program for Greek 3rd graders at risk of…
Descriptors: Intervention, Spelling, At Risk Students, Reading Fluency
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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
Rios, Olga Lidia – ProQuest LLC, 2015
California has the largest share of the English Language Learner (ELL) student population in the U.S., and it continues to grow. English Language Learners are the fastest growing group in the public school population and they are underachieving. The purpose of this study was to evaluate the longitudinal changes in the performance of English…
Descriptors: English Language Learners, School Districts, Standardized Tests, Language Tests
Gallia, Toni – ProQuest LLC, 2012
With the pressure in education to develop a 21st century learner with higher-level thinking skills, many educators connected previous state curriculum to the Common Core State Standards (CCSS). Missouri's Department of Education experts paired the previous state's curriculum known as the Missouri Grade Level Expectations (MO GLEs) with a…
Descriptors: Statistical Analysis, Content Analysis, State Standards, Academic Standards
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Budak, Ibrahim; Kaygin, Bulent – EURASIA Journal of Mathematics, Science & Technology Education, 2015
In this study, through the observation of mathematically promising students in regular classrooms, relevant learning environments and the learning needs of promising students, teacher approaches and teaching methods, and the differences between the promising students and their normal ability peers in the same classroom were investigated.…
Descriptors: Foreign Countries, Mathematics Instruction, Correlation, Surveys
Wu, Sarah S.; Willcutt, Erik G.; Escovar, Emily; Menon, Vinod – Journal of Learning Disabilities, 2014
Although behavioral difficulties are well documented in reading disabilities, little is known about the relationship between math ability and internalizing and externalizing behaviors. Here, we use standardized measures to investigate the relation among early math ability, math anxiety, and internalizing and externalizing behaviors in a group of…
Descriptors: Mathematics Achievement, Anxiety, Behavior Problems, Correlation
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Haas, Eric; Huang, Min; Tran, Loan – Regional Educational Laboratory West, 2014
Across the United States, and in the states served by the Regional Educational Laboratory West (REL West) in particular, there is widespread concern about how to successfully educate the growing number of English language learner (ELL) students, especially those identified as long-term ELL students and those identified as reclassified fluent…
Descriptors: English Language Learners, Student Characteristics, Language Proficiency, Language Tests
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Haas, Eric; Huang, Min; Tran, Loan – Regional Educational Laboratory West, 2014
Across the United States, and in the states served by the Regional Educational Laboratory West (REL West) in particular, there is widespread concern about how to successfully educate the growing number of English language learner (ELL) students, especially those identified as long-term ELL students and those identified as reclassified fluent…
Descriptors: English Language Learners, Language Proficiency, Student Characteristics, Classification
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Johnson, Evelyn S.; Jenkins, Joseph R.; Petscher, Yaacov – Assessment for Effective Intervention, 2010
In a response-to-intervention framework, schools typically employ a direct route approach to screening, in which students identified as at risk by a screening process are directly placed into intervention. Direct route approaches require screening decisions to be highly accurate, but few studies examining the predictive validity of reading…
Descriptors: Screening Tests, Reading Tests, At Risk Students, Predictive Validity
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