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Guam Department of Education, 2016
Guam Department of Education (GDOE) is a single unified school district consisting of Kindergarten thru 12 grade. Its 26 Elementary Schools, 8 Middle Schools, 6 High Schools, and 1 alternative school serves nearly 31,000 students, and is managed by the Superintendent who is the Executive Secretary of a 12-member Guam Education Board (GEB). This…
Descriptors: Kindergarten, Elementary Secondary Education, Graduation Rate, Dropout Rate
Sun, Min; Penner, Emily K.; Loeb, Susanna – American Educational Research Journal, 2017
Hoping to spur dramatic school turnaround, the federal government channeled resources to the country's lowest-performing schools through School Improvement Grants (SIG). However, prior research on SIG effectiveness is limited and focuses primarily on student achievement. This study uses a difference-in-differences strategy to estimate program…
Descriptors: Grants, Educational Improvement, School Turnaround, Federal Aid
Williams, Daphne E.; Siwatu, Mxolisi S. B. – Educational Research Quarterly, 2017
Developmental education programs and services have long provided underprepared and unprepared postsecondary students with the academic tools and life-management skills necessary to successfully complete collegelevel coursework. Legislation and policy changes, including implementing statewide minimum admissions requirements and restricting…
Descriptors: Algebra, Developmental Programs, Remedial Programs, Remedial Mathematics
Sun, Min; Penner, Emily K.; Loeb, Susanna – Grantee Submission, 2017
Hoping to spur dramatic school turnaround, the federal government channeled resources to the country's lowest-performing schools through School Improvement Grants (SIG). However, prior research on SIG effectiveness is limited and focuses primarily on student achievement. This study uses a difference-in-differences strategy to estimate program…
Descriptors: Grants, Educational Improvement, School Turnaround, Federal Aid
Moon, Jodi S.; Krull, Lauren – Center for Evaluation and Education Policy, Indiana University, 2017
Demographics in the U.S. have changed dramatically over the last three decades. Indiana's demographics are changing, too--albeit less dramatically. To explore how demographic shifts are changing the composition of Indiana's schools, the Center for Evaluation and Education Policy (CEEP) uses Common Core of Data (CCD) school enrollment data from the…
Descriptors: School Segregation, Enrollment Trends, School Statistics, Demography
Ronfeldt, Matthew; Kwok, Andrew; Reininger, Michelle – Urban Education, 2016
To increase the supply of teachers into underserved schools, teacher educators and policymakers commonly use two approaches: (a) recruit individuals who already report strong preferences to work in underserved schools or (b) design pre-service preparation to increase preferences. Using survey and administrative data on more than 1,000 teachers in…
Descriptors: Preferences, Disadvantaged, Disadvantaged Schools, Urban Areas
Wang, Zhanjun; Qiao, Weifeng; Li, Jiangbo – Chinese Education & Society, 2016
Higher education monitoring evaluation is a process that uses modern information technology to continually collect and deeply analyze relevant data, visually present the state of higher education, and provide an objective basis for value judgments and scientific decision making by diverse bodies Higher education monitoring evaluation is…
Descriptors: Higher Education, Progress Monitoring, School Statistics, Academic Achievement
Zamarro, Gema; Anderson, Kaitlin; Steele, Jennifer; Miller, Trey – Society for Research on Educational Effectiveness, 2016
The purpose of this study is to study the performance of different methods (inverse probability weighting and estimation of informative bounds) to control for differential attrition by comparing the results of different methods using two datasets: an original dataset from Portland Public Schools (PPS) subject to high rates of differential…
Descriptors: Data Analysis, Student Attrition, Evaluation Methods, Evaluation Research
Fergus, Meredith; Williams-Wyche, Shaun; Brower, Susan; Egbert, Andi – Minnesota Office of Higher Education, 2016
In 2015, the Minnesota Legislature enacted legislation setting a target that 70 percent of Minnesota adults age 25 to 44 will have attained a postsecondary certificate or degree by 2025, both for the general population and by racial/ethnic subgroups. This report fulfills the mandated reporting pursuant to Minnesota's educational attainment goal,…
Descriptors: Educational Attainment, Postsecondary Education, Educational Assessment, Educational Indicators
Kendall, John S.; Dandapani, Nitara; Cicchinelli, Louis F. – Regional Educational Laboratory Pacific, 2016
A quality data management system, such as an education management information system (EMIS), a state longitudinal data system, or a data warehouse, is key to ensuring that education policy, planning, and strategy decisions are grounded in accurate information (Data Quality Campaign, 2010; Mohamed, Kadir, May-Lin, Rahman, & Arshad, 2009;…
Descriptors: Benchmarking, Management Information Systems, Longitudinal Studies, Educational Strategies
Joo, Myungkook; Kim, Jeounghee – Education and Urban Society, 2016
Debates about the national high school graduation rate have heated up as various national high school graduation estimates based on the Common Core of Data (CCD) and the Current Population Survey (CPS) do not coincide with one another partially due to different assumptions about graduation age. This study found that (a) while graduation rate by…
Descriptors: High School Students, Graduation Rate, Cohort Analysis, Age Groups
Kettler, Todd; Puryear, Jeb S.; Mullet, Dianna R. – Journal of Advanced Academics, 2016
Definitions of rurality in education research are inconsistent, making generalization across studies difficult at best. We review published research in rural education between 2005 and 2015 (n = 17) and characterize the way each defined rural. A common technique for classifying rural schools is the National Center for Educational Statistics (NCES)…
Descriptors: Rural Education, Gifted Disadvantaged, Gifted, Definitions
Data Quality Campaign, 2016
The Every Student Succeeds Act (ESSA) preserves the most positive legacy of the No Child Left Behind era--more accurate and transparent data about the performance of all students--and helps states take their efforts to use data in support of student learning to the next level. The Data Quality Campaign (DQC) appreciates the opportunity to provide…
Descriptors: Accountability, State Policy, Educational Quality, Federal Regulation
Williams, Conor P. – New America, 2016
One in six school-age Minnesotans has at least one immigrant parent and one in five Minnesotans under five years old is a child of immigrants. This trend is part of a significant shift in the state's racial and ethnic makeup over the past 25 years. This report looks at Minnesota's redesign of policies and practices to better support the education…
Descriptors: Bilingual Students, Migrant Children, Migrant Education, Educational Change
Kendall, John S.; Dandapani, Nitara; Cicchinelli, Louis F. – Regional Educational Laboratory Pacific, 2016
A quality data management system, such as an education management information system (EMIS), a state longitudinal data system, or a data warehouse, is key to ensuring that education policy, planning, and strategy decisions are grounded in accurate information (Data Quality Campaign, 2010; Mohamed, Kadir, May-Lin, Rahman, & Arshad, 2009;…
Descriptors: Management Information Systems, Longitudinal Studies, Educational Policy, Educational Planning