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Fagioli, Loris P. – Educational Assessment, Evaluation and Accountability, 2014
This study compared a value-added approach to school accountability to the currently used metrics of accountability in California of Adequate Yearly Progress (AYP) and Academic Performance Index (API). Five-year student panel data (N?=?53,733) from 29 elementary schools in a large California school district were used to address the research…
Descriptors: Accountability, Achievement Gains, Measurement, Measurement Techniques
Briesch, Amy M.; Hemphill, Elizabeth; Daniels, Brian – School Psychology Forum, 2013
Class-wide interventions have been effectively used as a primary level of support to increase student engagement, but the management of these interventions can quickly become burdensome for busy classroom teachers. To address this problem, this study combined a class-wide self-management intervention, in which the students were responsible for…
Descriptors: Self Management, Intervention, Student Behavior, Self Evaluation (Individuals)
Vernon, Nichole – ProQuest LLC, 2013
The purpose of this study was to examine the success of students in Exceptional Education in Tennessee Virtual Academy. Students participating in this study are in grades 5-8, have a diagnosis of Specific Learning Disabilities, residents of Tennessee, currently enrolled in Tennessee Virtual Academy, and received Exceptional Education services.…
Descriptors: Special Education, Student Needs, Academic Achievement, Special Needs Students
Chang, Mido; Choi, Namok; Kim, Sunha – Educational Research and Evaluation, 2015
The goal of the study was to provide empirical findings on the effects of different types of parents' school involvement (PSI) on their children's mathematics performance. For PSI, we explored parent participation in parent-teacher conferences, voluntary parental involvement in school activities, parent informal contact with school or teachers,…
Descriptors: Mathematics Achievement, Parent Participation, Parent School Relationship, Minority Group Students
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
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
Champion, Brenda D. – ProQuest LLC, 2012
The accountability measures for student achievement have increased over the last five years for New York City Public Schools. In addition to existing local, state and federal accountability systems, yet another evaluative tool has been added--a "Progress Report". The report indicates a letter grade of "A" to "F" for a…
Descriptors: Accountability, Academic Achievement, Public Schools, Report Cards
Frazelle, Sarah; Nagel, Aisling – Regional Educational Laboratory Northwest, 2015
To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…
Descriptors: At Risk Students, Dropouts, Dropout Prevention, Prevention
Way, Jennifer; Reece, Amelia; Bobis, Janette; Anderson, Judy; Martin, Andrew – Mathematics Education Research Group of Australasia, 2015
The phenomenon of the "middle-years dip" in mathematics engagement and achievement has been a cause of concern for over a decade. This paper presents an example of one upper-primary classroom identified as having higher than average levels of student engagement, with the purpose of documenting specific teaching strategies that align with…
Descriptors: Foreign Countries, Student Motivation, Learner Engagement, Mathematics Education
Warren, John Robert; Saliba, Jim – Educational Researcher, 2012
How many students repeat a grade each year? How do retention rates vary across states and over time? Despite extensive research on the predictors and consequences of grade retention, there is no systematic way to quantify state-level retention rates; even national estimates rely on imperfect proxy measures. We present a conceptually simple…
Descriptors: Grade Repetition, School Holding Power, Public Education, National Surveys
Maxwell, Denise – ProQuest LLC, 2011
A national report by The Teaching Commission (2004), entitled "Teaching at Risk: A Call to Action", highlighted the significance of professional learning by teachers. Requirements outlined by the Annual Yearly Progress (AYP) component of the No Child Left Behind Act (NCLB, 2001) have emphasized the demands for high-quality professional…
Descriptors: Coaching (Performance), Elementary School Teachers, Instructional Improvement, Instructional Effectiveness
Marsh, Julie A.; Pane, John F.; Hamilton, Laura S. – RAND Corporation, 2006
Data-driven decision making (DDDM), applied to student achievement testing data, is a central focus of many school and district reform efforts, in part because of federal and state test-based accountability policies. This paper uses RAND research to show how schools and districts are analyzing achievement test results and other types of data to…
Descriptors: Data Use, Decision Making, Data Analysis, Educational Improvement