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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Publication Date
In 20152
Since 20149
Since 2011 (last 5 years)31
Showing 1 to 15 of 31 results
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Smith, Kevin G.; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2015
This guide is designed to facilitate self-studies of planning and implementation of state-required summer reading camp programs for grade 3 students who scored at the lowest level on the state reading assessment. It provides a template for data collection and guiding questions for discussion that may improve instruction and increase the number of…
Descriptors: Summer Programs, Reading Programs, Grade 3, Elementary School Students
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
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Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
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Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
State education leaders are often interested in identifying schools that have demonstrated success with improving the literacy of students who are at the highest level of risk for reading difficulties. The identification of these schools that are "beating the odds" is typically accomplished by comparing a school's observed…
Descriptors: Literacy Education, Reading Skills, Reading Difficulties, At Risk Students
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Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
State education leaders are often interested in identifying schools that have demonstrated success with improving the literacy of students who are at the highest level of risk for reading difficulties. The identification of these schools that are "beating the odds" is typically accomplished by comparing a school's observed…
Descriptors: Literacy Education, Reading Skills, Reading Difficulties, At Risk Students
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Folsom, Jessica Sidler; Osborne-Lampkin, La'Tara; Herrington, Carolyn D. – Regional Educational Laboratory Southeast, 2014
This document is a companion guide to "A Descriptive Analysis of the Principal Workforce in Florida Schools" (Folsom, Osborne-Lampkin, & Herrington, in press). It describes the methods used to extract information from the Florida Department of Education database in order to conduct a descriptive analysis of the demographic…
Descriptors: Data, Principals, Demography, Administrator Characteristics
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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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Gersten, Russell; Taylor, Mary Jo; Keys, Tran D.; Rolfhus, Eric; Newman-Gonchar, Rebecca – Regional Educational Laboratory Southeast, 2014
This study used a systematic process modeled after the What Works Clearinghouse (WWC) study review process to answer the question: What does the causal research say are effective math professional development interventions for K-12 teachers aimed at improving student achievement? The study identified and screened 910 research studies in a…
Descriptors: Elementary School Teachers, Secondary School Teachers, Professional Development, Mathematics Instruction
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Foorman, Barbara R.; Kershaw, Sarah; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2013
Florida requires that students who do not meet grade-level reading proficiency standards on the end-of-year state assessment (Florida Comprehensive Assessment Test, FCAT) receive intensive reading intervention. With the stakes so high, teachers and principals are interested in using screening or diagnostic assessments to identify students with a…
Descriptors: Reading Comprehension, At Risk Students, Reading Skills, Reading Difficulties
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Regional Educational Laboratory Southeast, 2012
What do we know about the impact and implementation of Career Academies? This paper provides answers to this question. Career Academies have been around for over 30 years. Their original design stressed facilitating the school-to-work transition. In the early 1990's the focus began to shift to preparing participating students for both college and…
Descriptors: Intervention, Career Academies, Career Development, Education Work Relationship
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Anderson, Kim; Harrison, Tiffany; Lewis, Karla – Regional Educational Laboratory Southeast, 2012
Based on interviews with state officials in the six Southeast Region states (Alabama, Florida, Georgia, Mississippi, North Carolina, and South Carolina), this study describes state processes for adopting the Common Core State Standards (a common set of expectations across states for what students are expected to know in English language arts and…
Descriptors: State Standards, Academic Standards, Elementary Secondary Education, Alignment (Education)
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Anderson, Kim; Harrison, Tiffany; Lewis, Karla – Regional Educational Laboratory Southeast, 2012
Based on interviews with state officials in the six Southeast Region states (Alabama, Florida, Georgia, Mississippi, North Carolina, and South Carolina), this study describes state processes for adopting the Common Core State Standards (a common set of expectations across states for what students are expected to know in English language arts and…
Descriptors: State Standards, Academic Standards, Elementary Secondary Education, Alignment (Education)
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Regional Educational Laboratory Southeast, 2011
College readiness, operationally defined by David Conley (2007), one of the contemporary "thought leaders" in the measurement of college readiness, as "the level of preparation a student needs in order to enroll and succeed--without remediation--in a credit-bearing general education course at a postsecondary institution that offers a baccalaureate…
Descriptors: Academic Achievement, Graduation Requirements, Student Needs, Careers
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Regional Educational Laboratory Southeast, 2011
The National Center for Education Statistics (NCES) produced a study reviewing the K-12 funding formulas of all 50 states. In a section of the report, NCES examined whether states had designated funding for dual enrollment programs. They found that: "Sixty-four percent of institutions with dual enrollment programs reported that parents and…
Descriptors: Evidence, Nonprofit Organizations, Scholarships, Funding Formulas
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