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Eric Tammes – ProQuest LLC, 2021
This dissertation examined the decision-making experience of students receiving an early alert notification at a community college and what influenced students' responses to the alert. Early alert programs are identified as a high impact persistence practice and may involve significant financial, technology, and personnel investments. Examining…
Descriptors: Community College Students, Dropout Prevention, Student Reaction, Decision Making
Heib, Usama; Lazar, Theofild-Andrei – Journal of Educational Sciences, 2020
In Israel, the awareness on the youth dropout from school problem has increased in the last decade. There is no doubt that dealing with this phenomenon poses a challenge to the Israeli society and to the authorities responsible for educational services. It turns out that certain groups among the Israeli population are at a higher risk of dropping…
Descriptors: Foreign Countries, Dropout Prevention, Dropouts, At Risk Students
Stoner, Marie C. D.; Rucinski, Katherine B.; Edwards, Jessie K.; Selin, Amanda; Hughes, James P.; Wang, Jing; Agyei, Yaw; Gomez-Olive, F. Xavier; MacPhail, Catherine; Kahn, Kathleen; Pettifor, Audrey – Health Education & Behavior, 2019
Background: Prevention of both school dropout and teen pregnancy represent clear public health priorities for South Africa, yet their complex and potentially cyclical relationship has not been fully explored. Objective: To further understand how this relationship operates, we analyzed data from a randomized trial of young women aged 13 to 20 years…
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Pregnancy
González-Faraco, Juan Carlos; Luzón-Trujillo, Antonio; Corchuelo-Fernández, Celia – Australian Educational Researcher, 2019
Since the last decade of the twentieth century, school systems have confronted the dialectic between those increasingly widespread policies primarily aimed at increasing productivity and efficiency and other policies focussed on equity and educational and social inclusion. In this inherently contradictory scenario, in order to improve their…
Descriptors: Vocational Education, Foreign Countries, Inclusion, At Risk Students
Davis, Marcia H.; Mac Iver, Martha Abele; Balfanz, Robert W.; Stein, Marc L.; Fox, Joanna Hornig – Preventing School Failure, 2019
This study focuses on the implementation of an early warning indicator and intervention system in 20 southern high schools. This model included a team of teachers, counselors, and student support services personnel who analyzed ninth-grade student-level data and implemented and monitored interventions. The team was led by a half-time coach who…
Descriptors: Program Implementation, Identification, Dropout Prevention, Intervention
Davis, Marcia H.; Mac Iver, Martha; Balfanz, Robert; Stein, Marc; Fox, Joanna – Grantee Submission, 2019
This study focuses on the implementation of an early warning indicator and intervention system in 20 southern high schools. This model included a team of teachers, counselors, and student support services personnel who analyzed ninth grade student-level data and implemented and monitored interventions. The team was led by a half-time coach who…
Descriptors: Program Implementation, Identification, Dropout Prevention, Intervention
Villano, Renato; Harrison, Scott; Lynch, Grace; Chen, George – Higher Education: The International Journal of Higher Education Research, 2018
Higher education institutions are increasingly seeking technological solutions to not only enhance the learning environment but also support students. In this study, we explored the case of an early alert system (EAS) at a regional university engaged in both on-campus and online teaching. Using a total of 16,142 observations captured between 2011…
Descriptors: Identification, School Holding Power, College Students, Educational Strategies
David M. Alexandro – ProQuest LLC, 2018
In response to the high school dropout crisis, which comes with great economic and social costs, early warning systems (EWSs) have been developed to systematically predict and improve student outcomes. The purpose of this study is to evaluate different statistical and machine learning methods to predict high school student performance and improve…
Descriptors: At Risk Students, Progress Monitoring, Artificial Intelligence, Prediction
Alvarez, Niurys Lázaro; Callejas, Zoraida; Griol, David – Journal of Technology and Science Education, 2020
We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not…
Descriptors: Foreign Countries, College Students, Computer Science Education, Engineering Education
Bundshuh, Heather; Ohlson, Matthew; Swanson, Anne – National Youth Advocacy and Resilience Journal, 2021
The impact of chronic absenteeism is devastating nationally as it can lead to poor academic achievement, increased dropout rates, and the school-to-prison pipeline (Balfanz & Cornfeld, 2016). The purpose of this program evaluation is to examine the attendance program at large suburban high school in the southeast United States. This program…
Descriptors: Attendance, Suburban Schools, High School Students, Program Effectiveness
Mac Iver, Martha Abele; Balfanz, Robert – Harvard Education Press, 2021
"Continuous Improvement in High Schools" gives educators and policymakers an accessible, actionable framework to address one of the nation's most important educational priorities: improving high school graduation and postsecondary preparedness rates. Martha Abele Mac Iver and Robert Balfanz, national experts in dropout prevention, apply…
Descriptors: High Schools, High School Students, Graduation Rate, College Readiness
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
Cattell, Lindsay; Bruch, Julie – Regional Educational Laboratory Mid-Atlantic, 2021
This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…
Descriptors: At Risk Students, Identification, Artificial Intelligence, Dropout Prevention
Rivera, Héctor H.; Garza, Tiberio; Huerta, Margarita; Magdaleno, Raul; Rojas, Elda; Torres-Morón, Dora – Journal of Latinos and Education, 2019
This study examines a college readiness program at building resilience among economically disadvantaged Latino high school students. The aim of the program was to build resiliency among at-risk Latino youth and was implemented in a large, public, independent school district in the Southwest United States. The data were examined through pre-…
Descriptors: Resilience (Psychology), Hispanic American Students, Youth, College Readiness
Ortigosa, Alvaro; Carro, Rosa M.; Bravo-Agapito, Javier; Lizcano, David; Alcolea, Juan Jesus; Blanco, Oscar – IEEE Transactions on Learning Technologies, 2019
This paper presents the work done to support student dropout risk prevention in a real online e-learning environment: A Spanish distance university with thousands of undergraduate students. The main goal is to prevent students from abandoning the university by means of retention actions focused on the most at-risk students, trying to maximize the…
Descriptors: At Risk Students, Dropout Prevention, Undergraduate Students, Distance Education