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Ahn, June; McEachin, Andrew – Educational Researcher, 2017
We utilize state data of nearly 1.7 million students in Ohio to study a specific sector of online education: K-12 schools that deliver most, if not all, education online, lack a brick-and-mortar presence, and enroll students full-time. First, we explore e-school enrollment patterns and how these patterns vary by student subgroups and geography.…
Descriptors: Charter Schools, Enrollment Rate, Enrollment Trends, Online Courses
National Centre for Vocational Education Research (NCVER), 2016
This publication provides a summary of data relating to students, programs, subjects and training providers in Australia's government-funded vocational education and training (VET) system (defined as Commonwealth and state/territory government-funded training). The data in this publication cover the period of 1 January to 30 September 2016. For…
Descriptors: Foreign Countries, Vocational Education, School Statistics, Statistical Data
Nichols-Barrer, Ira; Gleason, Philip; Gill, Brian; Tuttle, Christina Clark – Educational Evaluation and Policy Analysis, 2016
Skeptics of the KIPP (Knowledge Is Power Program) charter school network argue that these schools rely on selective admission, attrition, and replacement of students to produce positive achievement results. We investigate this using data covering 19 KIPP middle schools. On average, KIPP schools admit students disadvantaged in ways similar to other…
Descriptors: Admission Criteria, Student Attrition, Middle Schools, Charter Schools
Ahn, June – Thomas B. Fordham Institute, 2016
This Fordham study, conducted by learning technology researcher June Ahn from NYU, dives into one of the most promising-and contentious-issues in education today: virtual schools. What type of students choose them? Which online courses do students take? Do virtual schools lead to improved outcomes for kids? With over thirty-five thousand students…
Descriptors: Charter Schools, Virtual Classrooms, Enrollment Rate, Academic Achievement
Eyles, Andrew; Machin, Stephen – Centre for Economic Performance, 2015
We study the origins of what has become one of the most radical and encompassing programmes of school reform seen in the recent past amongst advanced countries--the introduction of academy schools to English secondary education. Academies are state schools that are allowed to run in an autonomous manner which is free from local authority control.…
Descriptors: Foreign Countries, Educational Change, Educational Practices, Educational Development
Apaloo, Francis – Online Submission, 2014
Educators and policymakers are concerned about high student mobility, especially because mobility is associated with negative academic performance outcomes for students in particular and for schools more generally. Furthermore, student mobility may lower educational performance for at-risk and low-performing students compared with peers who remain…
Descriptors: Student Mobility, Academic Persistence, Academic Achievement, School Surveys
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
Mills, Jonathan N. – Journal of Education Finance, 2013
This article examines the impacts of Arkansas charter schools on the academic achievement of participating students. Our findings are that charter schools have small but statistically significant, negative impacts on student achievements for both math and literacy. Such negative effects, however, tend to decline with the number of years of charter…
Descriptors: Open Enrollment, Charter Schools, Academic Achievement, Statistical Significance
Bradbury, Katharine; Burke, Mary A.; Triest, Robert K. – Federal Reserve Bank of Boston, 2013
Although the recent wave of mortgage foreclosures has clearly been accompanied by economic hardship, relatively little research has examined how foreclosures affect the academic performance of students. This paper investigates the relationship between mortgage foreclosures and the academic performance of students using a unique dataset that…
Descriptors: Public Schools, Academic Achievement, Housing, Debt (Financial)
Maryland Higher Education Commission, 2016
This document presents statistics about higher education in Maryland for 2016. The tables in this document are presented according to the following categories: (1) Students; (2) Retention and Graduation; (3) Degrees; (4) Faculty; (5) Revenues & Expenditures; (6) Tuition and Fees; (7) Financial Aid, and (8) Private Career Schools. [For…
Descriptors: Higher Education, Distance Education, Academic Persistence, School Holding Power
Maryland Higher Education Commission, 2015
This document presents statistics about higher education in Maryland for 2015. The tables in this document are presented according to the following categories: (1) Students; (2) Retention and Graduation; (3) Degrees; (4) Faculty; (5) Revenues & Expenditures; (6) Tuition and Fees; (7) Financial Aid, (8) Private Career Schools, and (9) Distance…
Descriptors: Higher Education, Distance Education, Academic Persistence, School Holding Power
Kadhi, T.; Rudley, D.; Holley, D.; Krishna, K.; Ogolla, C.; Rene, E.; Green, T. – Online Submission, 2010
The following report of descriptive statistics addresses the attendance of the 2012 class and the average Actual and Predicted 1L Grade Point Averages (GPAs). Correlational and Inferential statistics are also run on the variables of Attendance (Y/N), Attendance Number of Times, Actual GPA, and Predictive GPA (Predictive GPA is defined as the Index…
Descriptors: Grade Point Average, Law Schools, Statistical Analysis, Databases
Maryland Higher Education Commission, 2014
This document presents statistics about higher education in Maryland for 2014. The tables in this document are presented according to the following categories: (1) Students; (2) Retention and Graduation; (3) Degrees; (4) Faculty; (5) Revenues & Expenditures; (6) Tuition and Fees; (7) Financial Aid, (8) Private Career Schools, and (9) Distance…
Descriptors: Higher Education, Distance Education, Academic Persistence, School Holding Power
Tuttle, Christina Clark; Teh, Bing-ru; Nichols-Barrer, Ira; Gill, Brian P.; Gleason, Philip – Mathematica Policy Research, Inc., 2010
In this set of four supplemental tables, the authors compare the baseline test scores of the treatment and matched control group samples observed in each year after KIPP entry (outcome years 1 to 4). As discussed in Chapter III, the authors used an iterative propensity score estimation procedure to calculate each student's probability of entering…
Descriptors: Control Groups, Middle Schools, Student Characteristics, Tables (Data)
Maryland Higher Education Commission, 2013
This document presents statistics about higher education in Maryland for 2013. The tables in this document are presented according to the following categories: (1) Students; (2) Retention and Graduation; (3) Degrees; (4) Faculty; (5) Revenues & Expenditures; (6) Tuition and Fees; (7) Financial Aid, (8) Private Career Schools, and (9) Distance…
Descriptors: Higher Education, Distance Education, Academic Persistence, School Holding Power