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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
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Armstrong, Abbigail J. – Current Issues in Middle Level Education, 2015
This article describes original research to determine reasons graduate students do not complete requirements for a Master's (M.Ed.) in Middle Level Education degree at the Southeastern University. Since the program's initial cohort the graduation rate has decreased. Program faculty was concerned about the increasing difference between the number…
Descriptors: Graduate Students, Masters Degrees, Academic Persistence, Teacher Education
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Rees, Malcolm – Journal of Institutional Research, 2014
This paper reports on progress to date with a project underway in New Zealand involving the extraction of data from multiple government agencies that is then combined into one comprehensive longitudinal integrated dataset and made available to trial participants in a way never previously thought possible. The dataset includes school leaver…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Data Processing
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Davis, Marcia; Herzog, Liza; Legters, Nettie – Journal of Education for Students Placed at Risk, 2013
An early warning system is an intentional process whereby school personnel collectively analyze student data to monitor students at risk of falling off track for graduation and to provide the interventions and resources to intervene. We studied the process of monitoring the early warning indicators and implementing interventions to ascertain…
Descriptors: At Risk Students, School Personnel, Dropout Prevention, Data Collection
Child Trends, 2014
Integrated student supports (ISS), sometimes referred to as integrated student services, represents an emerging field of practice that aims to address persistent disparities in educational achievement and attainment. ISS is a school-based approach to promoting students' academic achievement and educational attainment by coordinating a seamless…
Descriptors: Academic Support Services, Academic Achievement, Educational Attainment, Student Personnel Services
Illinois State Board of Higher Education, Springfield. – 1999
This study analyzed data from the Illinois Shared Enrollment and Graduation Information System concerning attendance and graduation patterns of two groups: students who entered Illinois public universities as first-time freshmen between 1987 and 1992 and students who had graduated from Illinois public universities by spring 1998. Major findings…
Descriptors: Academic Persistence, Bachelors Degrees, Black Students, College Graduates
Swanson, Christopher B. – 2003
The No Child Left Behind Act (NCLB) of 2001 requires that public elementary and secondary school systems be held accountable for achieving high levels of educational proficiency for all students. While achievement testing is the central component of state accountability systems under NCLB, these systems must include graduation rates as an academic…
Descriptors: Academic Standards, Accountability, Data Analysis, Data Collection