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Li, Yibing; Garland, Marshall; Kilborn, Mitchell – Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Adelson, Jill L.; Dickinson, Emily R.; Cunningham, Brittany C. – Educational Researcher, 2016
This brief examined the patterns of reading achievement using statewide data from all students (Grades 3-10) in multiple years to examine gaps based on student, school, and district characteristics. Results indicate reading achievement varied most between students within schools and that students' prior achievement was the strongest predictor of…
Descriptors: Reading Achievement, Achievement Gap, School Districts, Institutional Characteristics
Davidson, J. Cody; Holbrook, Wesley T. – Journal of Continuing Higher Education, 2014
In 2011, the Organisation for Economic Co-operation and Development (OECD) reported that, in the 24 to 54 age range, the United States ranked thirty-fourth among all for individuals with a postsecondary credential. For the United States to increase in rank, adult students, who are projected to increase by 1.9 million in postsecondary enrollment by…
Descriptors: Undergraduate Students, Adult Students, Academic Persistence, Graduation
Davidson, J. Cody – Community College Journal of Research and Practice, 2015
Today, community colleges are challenged to maintain their historical identity of open access while increasing student success. This challenge is particularly salient in the context of performance-based funding models. These models create student achievements, which determine institutional levels of state funding. Therefore, these new student…
Descriptors: Community Colleges, Educational Finance, Financial Support, Academic Achievement
Hale, Jimmie Edwin – ProQuest LLC, 2014
This study explained Academic Progress Rate (APR) levels and differences in APR (DAPR) with team and institutional variables. Team variables included team gender, sport profile, and squad size. Institutional variables included individual variables aggregated to the institutional level. The data analyzed in this study was derived from the National…
Descriptors: Longitudinal Studies, Academic Achievement, Educational Indicators, College Athletics
McKee, M. Todd; Caldarella, Paul – Education, 2016
Dropping out of high school has negative results and implications for individuals and society. The likelihood of dropping out is attributed to both social and academic risk factors. Poor high school attendance, low course completion, and low grade-point-average (GPA) have been identified as three leading indicators that students are at risk for…
Descriptors: Middle School Students, High School Students, Academic Achievement, Predictor Variables
Fernández-Avilés, Gema; Pérez-Zabaleta, Amelia; Martínez-Merino, Juan-Luis – Journal of International Education Research, 2014
At present, one of the major issues and most interesting discussions within the European Higher Education Area is the rate of success in university-level study, and therefore the adaptation of today's university education system to society's requirements. Moreover, we have seen significant growth in distance education throughout recent decades, as…
Descriptors: Profiles, Open Universities, Student Characteristics, Distance Education
Johnson, Nate – Change: The Magazine of Higher Learning, 2013
In 2010, HCM Strategists received support from the Bill & Melinda Gates Foundation to engage academic researchers in identifying and discussing the best currently available ways to account for differences in college "inputs"--students, resources, and fixed characteristics--when evaluating postsecondary outcomes. The project, Context…
Descriptors: Accountability, Higher Education, Outcome Measures, Achievement Rating
Alexander, Jennifer L.; Ayres, Kevin M.; Smith, Katie A. – Teacher Education and Special Education, 2015
In this review, the authors include 23 studies where researchers experimentally evaluated training for teachers of students with Autism Spectrum Disorder (ASD). Authors summarized qualitative information on study and participant characteristics. Next, variables related to teacher practice and student learning targets were categorized based on…
Descriptors: Pervasive Developmental Disorders, Autism, Evidence, Best Practices
Kyriakides, L.; Creemers, B. P. M. – Journal of Education for Students Placed at Risk, 2011
This article investigates the extent to which schools can achieve both equity and quality. Data emerged from two effectiveness studies in teaching mathematics and Greek language, which were conducted to test the validity of the dynamic model of educational effectiveness. Separate multilevel analyses for each subject were conducted and it was found…
Descriptors: Greek, Mathematics Instruction, Educational Improvement, Equal Education
John W. Gardner Center for Youth and Their Communities, 2014
School communities across the country are working hard to comply with state and federal policies requiring that all students be prepared for success in college. Technological advances and new reporting requirements make data on students and schools more accessible than ever--but more and better data alone are not enough to meet the challenges…
Descriptors: College Readiness, Educational Indicators, Predictor Variables, College Bound Students
Carter, Alisa – ProQuest LLC, 2013
The purpose of this study was to examine the relationships of demographic (indicators describing student characteristics), structural (indicators describing school characteristics), student (indicators of student academic achievement), and financial (indicators of instructional expenditures) factors to student mathematics achievement. A sample (n…
Descriptors: High School Students, Secondary School Mathematics, Mathematics Achievement, Demography
John W. Gardner Center for Youth and Their Communities, 2014
Educators nationwide confront a troubling phenomenon: Increasingly, students leave high school unready for college, as evidenced by high rates of placement into remedial courses and low rates of college completion. Many students also lack either the attitudes or skills essential to succeed in a postsecondary setting, or knowledge of how to apply…
Descriptors: College Readiness, Educational Indicators, Predictor Variables, College Bound Students
Steinberg, Matthew P. – Educational Evaluation and Policy Analysis, 2011
The Supplemental Educational Services (SES) provision of the No Child Left Behind Act offers free tutoring services to students attending perennially underperforming schools. The author assesses the extent to which Chicago Public Schools students most in need of and who could potentially benefit the most from additional academic instruction…
Descriptors: Public Schools, School Choice, Student Participation, Academic Achievement