NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 38 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Skiba, Russell J.; Arredondo, Mariella I.; Williams, Natasha T. – Equity & Excellence in Education, 2014
The term and construct "school-to-prison" pipeline has been widely used by advocates, researchers, and policymakers to describe the relationship between school disciplinary practices and increased risk of juvenile justice contact. It has been unclear whether the construct is a useful heuristic or a descriptor of empirically validated…
Descriptors: At Risk Students, Correctional Institutions, Institutionalized Persons, Discipline
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
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
Bayer, Jaroslav; Bydzovska, Hana; Geryk, Jan; Obsivac, Tomas; Popelinsky, Lubomir – International Educational Data Mining Society, 2012
This paper focuses on predicting drop-outs and school failures when student data has been enriched with data derived from students social behaviour. These data describe social dependencies gathered from e-mail and discussion board conversations, among other sources. We describe an extraction of new features from both student data and behaviour…
Descriptors: Prediction, Foreign Countries, Predictor Variables, Social Behavior
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
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
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
Liu, Richard – Association for Institutional Research (NJ1), 2010
Since Summerskill's study on college attrition forty years ago, the interest in this topic has never waned. This study was particularly interested in the relationship of race to retention. Various theoretical frames of references have been proposed: Price's organization theory, Durkheim's Suicide, and Marx's Alienation have been used to guide…
Descriptors: College Freshmen, School Holding Power, Alienation, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Bowers, Alex J. – Journal of Educational Research, 2010
Studies of student risk of school dropout have shown that present predictors of at-risk status do not accurately identify a large percentage of students who eventually drop out. Through the analysis of the entire Grade 1-12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, the author…
Descriptors: Grade Point Average, Dropouts, Graduation, At Risk Students
Previous Page | Next Page »
Pages: 1  |  2  |  3