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McMahon, Brian M.; Sembiante, Sabrina F. – Review of Education, 2020
Emphasis in school dropout literature has shifted from exploring wide-ranging causes of dropping out to soliciting a smaller number of predictive indicators to identify students at increased risk for dropping out. However, much of the past decade's Early Warning research excludes indicators that do not add to the predictive nature of the model…
Descriptors: Dropout Prevention, Intervention, Prediction, Educational Research
Bettinger, Eric; Castleman, Benjamin; Choe, Alice; Mabel, Zachary – Annenberg Institute for School Reform at Brown University, 2021
Nearly half of students who enter college do not graduate. The majority of efforts to increase college completion have focused on supporting students before or soon after they enter college, yet many students drop out after making significant progress towards their degree. In this paper, we report results from a multi-year, large-scale…
Descriptors: At Risk Students, College Students, Withdrawal (Education), Public Colleges
Muench, Janice L. – ProQuest LLC, 2023
This research explores who is at risk of dropping out of high school and how collaborative Student Support Teams can contribute to students staying on track to graduate high school. The issue of student success is important because graduation is positively correlated with important life outcomes and ability to earn an adequate income in the labor…
Descriptors: High School Students, At Risk Students, Potential Dropouts, Dropout Characteristics
Lowder, Christopher; O'Brien, Chris; Hancock, Dawson; Hachen, Jeremy; Wang, Chuang – Urban Review: Issues and Ideas in Public Education, 2022
The transition into high school is a critical time to act for students with a history of academic difficulty. In this study, researchers examined the impact of a learning strategies intervention program called High School Success on performance of students demonstrating deficits in literacy and academic skills. Data were collected on performance…
Descriptors: High School Students, Academic Achievement, Learning Strategies, Intervention
Wentworth, Laura; Nagaoka, Jenny – Teachers College Record, 2020
Background/Context: The passage of the No Child Left Behind Act in 2002 and the Every Student Succeeds Act in 2015 spurred changes in the way educators use data. On the one hand, the policies inspired educators' awareness of large gaps in achievement between subgroups based on gender, race, and socioeconomic status. On the other hand, the policies…
Descriptors: Dropout Prevention, Educational Innovation, Program Effectiveness, Data Use
Dorothea Glaesser; Christopher Holl; Julia Malinka; Laura McCullagh; Lydia Meissner; Nicole Syringa Harth; Maya Machunsky; Kristin Mitte – Social Psychology of Education: An International Journal, 2024
Disengagement is a concept that captures the gradual behavioral, affective, and cognitive distancing from school, and is thus an early indicator of students being at risk for dropout. Based on a social identity framework, we predicted that higher social identification with the class and a positive classroom climate would be associated with lower…
Descriptors: Learner Engagement, Social Environment, At Risk Students, Educational Environment
Heritage, Brody; Ladeira, Christopher; Steele, Andrea R. – Higher Education: The International Journal of Higher Education Research, 2023
A significant number of university students are leaving their institutions before completing their degrees. The present research project applied embeddedness theory, from organizational research, to understand student retention in a tertiary student population, and develop a quantitative instrument that measured university student embeddedness. In…
Descriptors: Foreign Countries, Undergraduate Students, School Holding Power, Student Experience
Fatima, Saba – ProQuest LLC, 2023
Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…
Descriptors: Artificial Intelligence, Prediction, Outcomes of Education, At Risk Students
Psifidou, Irene; Mouratoglou, Nikolaos; Farazouli, Alexandra – Journal of Education and Work, 2021
Guidance and counselling are key features in comprehensive strategies aiming to reduce early leaving from education and training (ELET). It may assist students not only in terms of decision-making, but also of managing their transitions within education and training pathways or from education to employment. Minimising the risks of either…
Descriptors: Foreign Countries, Guidance, School Counseling, Dropout Prevention
Kyra Caspary; Miya Warner; Lauren Cassidy; Hannah Kelly – SRI Education, a Division of SRI International, 2022
The Barr Foundation's Engage New England (ENE) initiative was an effort to catalyze high school innovation by developing exemplary schools that support the success of students who are off track to graduate. Grounded in the tenets of positive youth development, the ENE initiative provided grants and technical assistance to support new or redesigned…
Descriptors: High School Students, At Risk Students, Educational Innovation, Educational Improvement
Wayman, Grace; Hawken, Leanne S.; Wright, Hannah M.; Sabey, Christian V.; Fleming, Julia; O'Donnell, Kathleen; Rolfe, Jack – Journal of Educational Issues, 2021
Students in high school or secondary school face challenges that too often lead them to drop out of school. Administrators and staff in many of these schools have attempted to address this challenge by adopting a framework of Positive Behavior Interventions and Supports (PBIS) that offers graduated tiers of intervention suited to students' needs.…
Descriptors: Dropout Prevention, High School Students, Positive Behavior Supports, Intervention
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
Hu, Yung-Hsiang – International Review of Research in Open and Distributed Learning, 2022
Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…
Descriptors: Dropout Prevention, At Risk Students, Online Courses, Private Colleges
Naseem, Mohammed; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
The need for a knowledge-based society has perpetuated an increasing demand for higher education around the globe. Recently, there has been an increase in the demand for Computer Science professionals due to the rise in the use of ICT in the business, health and education sector. The enrollment numbers in Computer Science undergraduate programmes…
Descriptors: College Freshmen, Student Attrition, School Holding Power, Dropout Prevention
Sacco, Chiara; Le Rose, Giuseppina – Social Psychology of Education: An International Journal, 2022
Early school leaving has profound implications at a socio-economic level and planning effective prevention programs within school is crucial for contrasting it. Based on the hypothesis that the dropout is the last step of a process that ends in the student's decision to leave school, we studied the interplay between multiple risk factors of school…
Descriptors: Foreign Countries, Dropouts, Dropout Attitudes, Intention