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Xiao Wen; Hu Juan – Interactive Learning Environments, 2024
To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…
Descriptors: MOOCs, Dropouts, Dropout Characteristics, Dropout Research
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Schmidt, Taylor – BU Journal of Graduate Studies in Education, 2021
Earning a high school diploma is a valuable achievement, but it is a challenging goal to achieve for a growing number of at-risk youths. It has become clear how important high school graduation is to the individuals and the community where they live when considering the consequences of graduating versus dropping out. The steps needed to achieve…
Descriptors: High School Students, Graduation Rate, Predictor Variables, At Risk Students
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Soland, James; Domingue, Benjamin; Lang, David – Teachers College Record, 2020
Background/Context: Early warning indicators (EWI) are often used by states and districts to identify students who are not on track to finish high school, and provide supports/interventions to increase the odds the student will graduate. While EWI are diverse in terms of the academic behaviors they capture, research suggests that indicators like…
Descriptors: Identification, At Risk Students, Potential Dropouts, High School Students
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Bloemer, William; Day, Scott; Swan, Karen – Online Learning, 2017
In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them may not always be the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the…
Descriptors: Courses, Success, Academic Persistence, School Holding Power
Lamb, Lindsay M. – Online Submission, 2017
The purpose of this report is to analyze the stability of students' reliable integrated trend scores (RITS) over time and to determine which elementary school factors predict RITS at the secondary level.
Descriptors: School Districts, Elementary School Students, Scores, Educational Trends
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Bowers, Alex J.; Sprott, Ryan; Taff, Sherry A. – High School Journal, 2013
The purpose of this study is to review the literature on the most accurate indicators of students at risk of dropping out of high school. We used Relative Operating Characteristic (ROC) analysis to compare the sensitivity and specificity of 110 dropout flags across 36 studies. Our results indicate that 1) ROC analysis provides a means to compare…
Descriptors: At Risk Students, Dropouts, Accuracy, Computation
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Landis, Rebecca N.; Reschly, Amy L. – Journal for the Education of the Gifted, 2013
The issue of high school dropout has long concerned policy makers, educational professionals, and the general public. In the gifted literature, this concern is no less pressing. Student engagement is becoming an increasingly discussed construct for conceptualizing the dropout phenomenon and designing appropriate interventions to prevent this…
Descriptors: Academically Gifted, Dropouts, Underachievement, Student Participation
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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
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Davidson, Cody; Wilson, Kristin – Journal of College Student Retention: Research, Theory & Practice, 2013
The purpose of this article is to trace the development of the Tinto framework for student integration and to critically analyze the application of the framework with nontraditional student populations. Specifically, the terms "academic" and "social integration" have become synonymous with student retention and, by extension,…
Descriptors: Academic Persistence, Social Integration, Nontraditional Students, Predictor Variables
Losen, Daniel J.; Gillespie, Jonathan – Civil Rights Project / Proyecto Derechos Civiles, 2012
Well over three million children, K-12, are estimated to have lost instructional "seat time" in 2009-2010 because they were suspended from school, often with no guarantee of adult supervision outside the school. That's about the number of children it would take to fill every seat in every major league baseball park and every NFL stadium…
Descriptors: Elementary Secondary Education, Suspension, Expulsion, Educational Indicators
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Dupéré, Véronique; Leventhal, Tama; Dion, Eric; Crosnoe, Robert; Archambault, Isabelle; Janosz, Michel – Review of Educational Research, 2015
High school dropout is commonly seen as the result of a long-term process of failure and disengagement. As useful as it is, this view has obscured the heterogeneity of pathways leading to dropout. Research suggests, for instance, that some students leave school not as a result of protracted difficulties but in response to situations that emerge…
Descriptors: High School Students, Stress Variables, Dropouts, Models
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Kerby, Molly B. – Journal of College Student Retention: Research, Theory & Practice, 2015
Theoretical models designed to predict whether students will persist or not have been valuable tools for retention efforts relative to the creation of services in academic and student affairs. Some of the early models attempted to explain and measure factors in the "college dropout process." For example, in his seminal work, Tinto…
Descriptors: Predictor Variables, Models, School Holding Power, Academic Persistence
Hunnicutt Hollenbaugh, Karen Michelle – Michigan Journal of Counseling: Research, Theory, and Practice, 2011
In this manuscript, research on treatment compliance and dropout in group therapy is reviewed. A number of variables found to be related to the compliance and dropout are identified including client characteristics, treatment characteristics, and therapist perceptions and behavior. Implications of these results for increasing treatment compliance…
Descriptors: Client Characteristics (Human Services), Dropouts, Group Therapy, Intervention
Rogulkin, Dmitri – Online Submission, 2011
The second year of college can be as important as the first year but far fewer studies have been conducted on second-year students. About 12% of students leave California State University - Fresno during or after their second year. In this report, we examined second year students to find the differences between those who graduate and those who…
Descriptors: Grade Point Average, Graduation Rate, Academic Persistence, At Risk Students
Sabates, Ricardo; Hossain, Altaf; Lewin, Keith M. – Online Submission, 2010
This report provides new evidence into the factors that predict school drop out for children in Bangladesh. It also examines similarities and differences between children who enter late into primary schooling, those who are permanently excluded and those who drop out. Our results show that the relationship of the child within the household and the…
Descriptors: Evidence, Family Characteristics, Parent Participation, Attendance
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