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Showing 1 to 15 of 24 results Save | Export
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Davis, Marcia H. – Journal of Education for Students Placed at Risk, 2023
U.S. Department of Education research indicates that early warning indicator systems are being used in at least half of high schools in the United States. Previous findings from an efficacy study of one early warning indicator and response system, the Early Warning Indicator (EWI) team model, indicated that ninth grade students in schools using…
Descriptors: High Schools, High School Students, Grade 9, Dropout Prevention
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Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
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Grant, Jessica; Yokum, Russell; Holzman, Glenn – Journal of At-Risk Issues, 2020
Based on existing empirical research, schools continue to use single intervention programs for intervening on behalf of at-risk students despite the fact that those programs do not meet with significant success in decreasing dropout rates. The problem is that the phenomenon of multidimensional approaches to intervening on behalf of ninth-grade…
Descriptors: Holistic Approach, Intervention, At Risk Students, High School Students
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Nouwen, Ward; Clycq, Noel – European Journal of Psychology of Education, 2021
Tackling early leaving from education and training (ELET) is one of the headline targets for education policy in the European Union. Although ELET rates have been decreasing in most member states, male, socially disadvantaged and immigrant students remain overrepresented in ELET figures. Moreover, students in vocational tracks and students who…
Descriptors: Foreign Countries, At Risk Students, Potential Dropouts, Dropout Prevention
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Christie, S. Thomas; Jarratt, Daniel C.; Olson, Lukas A.; Taijala, Taavi T. – International Educational Data Mining Society, 2019
Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…
Descriptors: Dropout Prevention, At Risk Students, Artificial Intelligence, Decision Support Systems
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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
McMahon, Brian M. – ProQuest LLC, 2018
Recent literature on high school graduation and drop out have shifted the focus from identifying causes of drop out to identifying students who are at risk of dropping out. The Early Warning Systems (EWS) used to identify students seek to use existing data to predict which students have a greater risk of dropping out of school so that schools can…
Descriptors: Predictor Variables, High School Graduates, At Risk Students, Dropout Prevention
Goodman, Christie L., Ed. – Intercultural Development Research Association, 2021
This year's study is the 34th in a series of annual reports on trends in dropout and attrition rates in Texas public schools, with the initial attrition study released by the Intercultural Development Research Association (IDRA) in 1986. The 2018-19 study builds on a series of studies by IDRA that track the number and percent of students in Texas…
Descriptors: Public Schools, Student Attrition, Dropouts, Graduation Rate
Goodman, Christie L., Ed. – Intercultural Development Research Association, 2021
This year's study is the 35th in a series of annual reports on trends in dropout and attrition rates in Texas public schools. The 2019-20 study builds on a series of studies by the Intercultural Development Research Association (IDRA) that track the number and percent of students in Texas who are lost from public school enrollment prior to…
Descriptors: Public Schools, Student Attrition, Dropout Rate, Educational Trends
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Halvorsrud, Kristoffer – London Review of Education, 2017
This article presents a review of extant research on student dropout in Norway, originally undertaken as part of a systematic review. The article contextualizes the foundational principle of equality as championed by the welfare state and identifies the significance of dropout in upper secondary education in Norway. The article then assesses…
Descriptors: Foreign Countries, High School Students, Secondary Education, Dropouts
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
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Fortin, Laurier; Marcotte, Diane; Diallo, Thierno; Potvin, Pierre; Royer, Egide – European Journal of Psychology of Education, 2013
This study tests an empirical multidimensional model of school dropout, using data collected in the first year of an 8-year longitudinal study, with first year high school students aged 12-13 years. Structural equation modeling analyses show that five personal, family, and school latent factors together contribute to school dropout identified at…
Descriptors: Models, Dropouts, High School Students, Longitudinal Studies
Corrin, William; Sepanik, Susan; Gray, Aracelis; Fernandez, Felix; Briggs, Ashley; Wang, Kathleen K. – MDRC, 2014
Too many students in high-poverty, urban communities drop out of high school, and too few graduate prepared for college and careers. Three national organizations--Talent Development Secondary, City Year, and Communities In Schools--have formed Diplomas Now in an effort to transform urban secondary schools so fewer students drop out and more…
Descriptors: Urban Schools, Secondary Schools, Secondary School Students, College Readiness
Massachusetts Department of Elementary and Secondary Education, 2013
The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…
Descriptors: Dropout Prevention, Risk, Models, Identification
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