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D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
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
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
Gumus, Sedat – International Review of Education, 2014
Turkey, like many developing countries, is facing considerable problems in terms of low school attendance rates, late enrolment and early dropout of girls in particular. Numerous studies have already been conducted, both in Turkey and elsewhere, to determine the factors affecting school enrolment of boys and girls. Existing studies in Turkey,…
Descriptors: Foreign Countries, Community Influence, Attendance, Enrollment
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
Mah, Dana-Kristin – Technology, Knowledge and Learning, 2016
Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…
Descriptors: Educational Research, Data Collection, Data Analysis, Recognition (Achievement)
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
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
Almeida, Cheryl; Steinberg, Adria; Santos, Janet; Le, Cecilia – Jobs for the Future, 2010
Solving America's dropout crisis requires immediate, drastic action. Intractable as the dropout problem may seem, recognition of its magnitude has created an environment ripe for action. Most notably, federal regulations adopted in 2008 require states to use more accurate ways of counting dropouts and holding districts and schools more accountable…
Descriptors: Graduation Rate, Dropout Prevention, Dropouts, Accountability
Roblyer, M. D.; Davis, Lloyd – Online Journal of Distance Learning Administration, 2008
Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…
Descriptors: Prediction, Predictor Variables, Success, Virtual Classrooms
Landini, Albert J. – 1972
Diminishing financial resources have decreased the availability of individual counseling and instructional services. It therefore becomes more critical to accurately identify those students most likely to need specialized treatment. The model presented here is designed to extend various socio-psychological concepts based on environmental cause…
Descriptors: Census Figures, Computer Oriented Programs, Demography, Dropout Prevention
Frankel, Steven M. – 1973
This document summarizes the significant findings, overall methodology, and policy recommendations for the Assessment of School Supervised Work Education Programs. It consists of material contained in the Data Analysis Report together with a description of the analysis model developed for each respondent group. Individual predictor items were…
Descriptors: Cooperative Education, Dropout Prevention, Models, On the Job Training
Prestholdt, Perry H.; Fisher, Jack L. – 1983
To develop and test a theoretical model, based on the Theory of Reasoned Action (Fishbein and Ajzen, 1975), for understanding and predicting the decision to stay in or drop out of school, to identify the specific beliefs that are the basis of that decision, and to evaluate the use of moderator variables (sex, race) to individualize the model,…
Descriptors: Behavior Patterns, Beliefs, Decision Making, Dropout Characteristics
Lenning, Oscar, T.; And Others – 1980
This document was developed to (1) help clarify the various concepts of retention and attrition within a unifying conceptual framework, (2) synthesize the research on retention and attrition, and (3) examine the implications of the research for postsecondary administrators and researchers. Retention and attrition research pertains to both the…
Descriptors: Academic Persistence, Administrator Role, Definitions, Dropout Prevention
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