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Juan Andrés Talamás-Carvajal; Héctor G. Ceballos; Isabel Hilliger – Journal of Learning Analytics, 2025
Artificial intelligence (AI) is currently leading an industrial revolution in most aspects of human life, and education is no exception. With the increasing ratio of students to faculty, AI could be an extremely beneficial tool for individual mentoring; for example, for cases of dropout and for student retention. While many models have already…
Descriptors: Higher Education, Artificial Intelligence, Research Methodology, Student Subcultures
Lidia Rossi; Mara Soncin; Melisa Lucia Diaz Lema; Tommaso Agasisti – Educational Assessment, Evaluation and Accountability, 2025
Early identification of schools with a high percentage of students at risk of learning poverty is crucial for effective and targeted interventions. This study investigates the use of an innovative combination of large-scale administrative datasets and advanced statistical techniques to predict schools at risk of learning poverty in Italy in the…
Descriptors: Disadvantaged Schools, At Risk Students, Foreign Countries, Economically Disadvantaged
Oda Charlotte Larsen Saetre; Serap Keles; Thormod Idsoe – Scandinavian Journal of Educational Research, 2024
We investigated changes in youths' intentions to quit school after following a group-based cognitive behaviour therapy (CBT) based intervention for depressed adolescents in upper secondary school: the Adolescent Coping with Depression Course (ACDC). Data were collected from 228 youths, 133 of whom received the 14-week ACDC intervention and 95 who…
Descriptors: Depression (Psychology), Correlation, Intention, Dropouts
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Foreman-Murray, Lindsay; Krowka, Sarah; Majeika, Caitlyn E. – Preventing School Failure, 2022
Students with disabilities drop out of high school at a higher rate than typically learning students, impacting their short and long-term educational and employment opportunities and making long-term financial stability less likely. In this review, the authors examined the indicators of dropout among students with high-incidence disabilities at…
Descriptors: Students with Disabilities, Dropout Prevention, At Risk Students, Secondary School Students
Terrell, Misty – National Technical Assistance Center on Transition, 2017
Early warning systems (EWS), in the context of secondary transition, are tools that analyze individual student-level data and estimate each student's risk of dropping out of school or completing school on time. Such tools generally consider three primary types of data--commonly referred to as the A, B, Cs: attendance/absence data,…
Descriptors: Identification, Intervention, Secondary School Students, At Risk Students
Fien, Hank; Anderson, Daniel; Nelson, Nancy J.; Kennedy, Patrick; Baker, Scott K.; Stoolmiller, Michael – Learning Disabilities Research & Practice, 2018
The purpose of the present article is to report on a large-scale investigation of six school districts' implementation of an initiative aimed at reducing dropout rates by improving reading achievement in the middle grades. Data for the Middle School Intervention Project (MSIP) were collected in 25 middle schools across the state of Oregon. We…
Descriptors: Intervention, At Risk Students, Predictor Variables, Grade 8
Slaughter, Austin; Neild, Ruth Curran; Crofton, Molly – Philadelphia Education Research Consortium, 2018
Ninth grade is a critical juncture for students--and can be a jarring transition. Even students a strong track record in the middle grades can experience academic difficulty, and those who enter high school with poor course grades, weak attendance, or behavior problems are especially at risk. An early misstep can have lasting implications:…
Descriptors: High School Students, Grade 9, At Risk Students, Potential Dropouts
National Forum on Education Statistics, 2018
The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the…
Descriptors: Educational Indicators, Best Practices, Elementary Secondary Education, Data Collection
Chappell, Shanan L.; O'Connor, Patrick; Withington, Cairen; Stegelin, Dolores A. – National Dropout Prevention Center/Network, 2015
Almost from the start of the public schools system in America, students have been leaving school without high school diplomas. However, the dropout issue did not rise to the level of significance it has today until the early 1980s, when social pressures, along with business leaders, leveraged their influence on educators to address the dropout…
Descriptors: Public Schools, Dropout Prevention, At Risk Students, Business
Doren, Bonnie; Murray, Christopher; Gau, Jeff M. – Learning Disabilities Research & Practice, 2014
The purpose of this study was to identify the unique contributions of a comprehensive set of predictors and the most salient predictors of school dropout among a nationally representative sample of students with learning disabilities (LD). A comprehensive set of theoretically and empirically relevant factors was selected for examination. Analyses…
Descriptors: Predictor Variables, At Risk Students, Dropouts, Learning Disabilities
Sabates, R.; Hossain, A.; Lewin, K.M. – International Journal of Educational Development, 2013
This paper examines the relative strength of different factors associated with school drop out using data collected between 2007 and 2009 in Bangladesh. A sample of 9046 children, aged 4-15, was selected across six districts for a household survey focusing on children's school access and experiences. Two groups of children were identified: those…
Descriptors: Educational Finance, Foreign Countries, Teacher Attitudes, Correlation
Blount, Taheera – Journal of School Counseling, 2012
School counselors are charged to identify potential dropouts and they work closely with students to help them stay in school or find alternative means of completing their education. Ninth grade students transitioning to high school experience insurmountable challenges as they shift from middle school to high school. Students who lack the academic…
Descriptors: Dropouts, Risk, Intervention, School Counselors
Roderick, Melissa; Kelley-Kemple, Thomas; Johnson, David W.; Beechum, Nicole O. – University of Chicago Consortium on Chicago School Research, 2014
In 2007, spurred by University of Chicago Consortium on Chicago School Research (UChicago CCSR) research reports, leadership at the Chicago Public Schools (CPS) began a new targeted approach to reducing course failure in the ninth grade. The research suggested that the transition between eighth and ninth grade played a critical role in shaping…
Descriptors: Urban Schools, Public Schools, Grade 9, Academic Failure
Mac Iver, Martha Abele; Messel, Matthew – Journal of Education for Students Placed at Risk, 2013
This study of graduation outcomes in Baltimore uses multivariate analysis of longitudinal student cohort data to examine the impact of factors identified in previous research as early warning indicators of a dropout outcome. Student cohort files were constructed from longitudinal administrative data (following all first-time 2004-2005 and…
Descriptors: Grade Point Average, Multivariate Analysis, Predictor Variables, Graduation
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