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Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
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Weybright, Elizabeth H.; Caldwell, Linda L.; Xie, Hui; Wegner, Lisa; Smith, Edward A. – South African Journal of Education, 2017
Education is one of the strongest predictors of health worldwide. In South Africa, school dropout is a crisis where by Grade 12, only 52% of the age appropriate population remain enrolled. Survival analysis was used to identify the risk of dropping out of secondary school for male and female adolescents and examine the influence of substance use…
Descriptors: Foreign Countries, Predictor Variables, Predictive Measurement, Secondary School Students
Orozco, Steven R. – ProQuest LLC, 2016
Aggressive students often struggle in multiple domains of their school functioning and are at increased risk for high school dropout. Research has identified a variety of warning flags which are strong predictors of high school dropout. While it is known that aggressive students exhibit many of these warning flags, there is little research which…
Descriptors: Aggression, Dropouts, Dropout Characteristics, High School Students
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Regional Educational Laboratory Southeast, 2011
Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…
Descriptors: Elementary Secondary Education, Dropout Prevention, Evidence, At Risk Students
Brunner, Josie; Malerba, Cathy – Online Submission, 2010
This research brief provides highlights from the full report (published separately). In the report on AISD students, with a focus on the graduating class of 2009, the most powerful predictors of overall student dropout risk were having an 8th-grade attendance rate of less than 90% and failing both the 8th-grade reading and math TAKS tests. [For…
Descriptors: Grade 8, Predictor Variables, Dropout Characteristics, Dropouts
Brunner, Josie; Malerba, Cathy – Online Submission, 2009
In this report on AISD students, with a focus on the graduating class of 2009, the most powerful predictors of overall student dropout risk were having an 8th-grade attendance rate of less than 90% and failing both the 8th-grade reading and math TAKS tests. A separate research brief also was published. [For the research brief, see ED628171.]
Descriptors: Grade 8, Predictor Variables, Dropout Characteristics, Dropouts