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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Houston Independent School District, 2019
Dual credit courses are legislated course enrollment options available to ninth- to twelfth-grade students in the State of Texas. The dual credit program provides the opportunity for all high school students, regardless of grade level, to earn college credits while working toward a high school diploma (Houston ISD, 2018). There is no limit to the…
Descriptors: Dual Enrollment, High School Students, College Credits, Program Effectiveness
Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
During the 2013/14 school year two Florida school districts sought to develop an early warning system to identify students at risk of low performance on college readiness measures in grade 11 or 12 (such as the SAT or ACT) in order to support them with remedial coursework prior to high school graduation. The study presented in this report provides…
Descriptors: Reading Tests, Scores, Predictor Variables, College Readiness
Namkung, Jessica M.; Fuchs, Lynn S. – Journal of Educational Psychology, 2016
The purpose of this study was to examine the cognitive predictors of calculations and number line estimation with whole numbers and fractions. At-risk 4th-grade students (N = 139) were assessed on 6 domain-general abilities (i.e., working memory, processing speed, concept formation, language, attentive behavior, and nonverbal reasoning) and…
Descriptors: Predictor Variables, Numbers, Mathematics, Grade 4
Truckenmiller, Adrea J.; Petscher, Yaacov; Gaughan, Linda; Dwyer, Ted – Regional Educational Laboratory Southeast, 2016
District and state education leaders frequently use screening assessments to identify students who are at risk of performing poorly on end-of-year achievement tests. This study examines the use of a universal screening assessment of reading skills for early identification of students at risk of low achievement on nationally normed tests of reading…
Descriptors: Prediction, Predictive Validity, Predictor Variables, Mathematics Achievement
Regional Educational Laboratory Mid-Atlantic, 2020
The document are the appendixes for the full report, "Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks." The study team collected and linked five academic years of student-level administrative data from Pittsburgh Public Schools (PPS), Propel Schools, and the Allegheny County Department of Human…
Descriptors: Elementary Secondary Education, Public Schools, Charter Schools, At Risk Students
Sammons, Pam; Toth, Katalin; Sylva, Kathy – Sutton Trust, 2015
This report looks at children's education careers by drawing on data from a sample of more than 3,000 young people who have been tracked through school since the age of three. In particular, this research identified a group of disadvantaged children, establishing what predicted their academic success at the age of 11 and following them up to age…
Descriptors: High Achievement, Disadvantaged Youth, Predictor Variables, Success
Peisner-Feinberg, Ellen; Schaaf, Jennifer; Hildebrandt, Lisa; LaForett, Dore – FPG Child Development Institute, 2013
The North Carolina Pre-Kindergarten Program (NC Pre-K) is a state-funded initiative for at-risk 4-year-olds, designed to provide a high quality, classroom-based educational program during the year prior to kindergarten entry. Children are eligible for NC Pre-K based on age, family income (at or below 75% of state median income), and other risk…
Descriptors: Preschool Education, Preschool Children, At Risk Students, State Programs
Princiotta, Daniel; Lippman, Laura; Ryberg, Renee; Schmitz, Hannah; Murphey, David; Cooper, Mae – Child Trends, 2014
Only about 59 percent of full-time, first-time students at four-year institutions complete such a degree within six years at the same school. Completion rates are even lower for those starting part-time, or at less than four-year schools (and planning to transfer). Which social indicators--such as student engagement, enrollment status, and family…
Descriptors: Social Influences, Postsecondary Education, Success, College Graduates
Learned, Jeanette – National Centre for Vocational Education Research (NCVER), 2010
There are many factors which might cause a student to drop out of a course of study; some of these are preventable. This paper describes the piloting of a survey tool designed to identify students at risk of not completing. Attendance was found to be the strongest predictor of module completion; low or declining scores on the survey were also…
Descriptors: At Risk Students, Potential Dropouts, Identification, Vocational Education
Uekawa, Kazuaki; Merola, Stacey; Fernandez, Felix; Porowski, Allan – Regional Educational Laboratory Mid-Atlantic, 2010
This Technical Brief presents an historical analysis of key indicators of dropout for Delaware students in grades 9-12. Cut points for key risk indicators of high school dropout for the State of Delaware are provided. Using data provided by the Delaware Department of Education (DDOE), relationships between student dropout and several student…
Descriptors: Dropout Prevention, Dropouts, Predictor Variables, High School Students
Penner, Audrey J. – Human Resources and Skills Development Canada, 2011
The purpose of this study was to identify differences in performance if any, between learners with a high school diploma, and those with a GED credential, at two postsecondary institutions, Holland College on Prince Edward Island (PEI) and Nova Scotia Community College in Nova Scotia (NS). Of interest is how these adults perform in a postsecondary…
Descriptors: Postsecondary Education, Human Capital, High School Students, Community Colleges
Brunner, Josie – Online Submission, 2011
Ninth-grade predictors of dropout risk among Austin Independent School District's English language learner students included the following: having an attendance rate below 90%, being 16 years or older, earning less than 5 course credits, attending a Title I campus and scoring beginning or intermediate on the state's English proficiency assessment…
Descriptors: Language Tests, At Risk Students, Dropouts, Predictor Variables
Jorgensen, Shirley; Fichten, Catherine; Havel, Alice – Online Submission, 2009
The main aim of this study was to gain a better understanding of why students abandon their studies, or perform less well than expected given their high school grades, and to develop predictive models that can help identify those students most at-risk at the time they enter college. This will allow teachers and those responsible for student…
Descriptors: High School Students, Grades (Scholastic), Academic Failure, Profiles