Purpose: The main purpose of this study is to evaluate the extent of dropout students and identify the relationship between risk factors of dropout and the survival time of students. Design/methodology/approach: The Kaplan-Meier estimator (KM), also known as the product-limit technique, is a nonparametric model function that is commonly used in…

We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…

The tutor's role in enhancing student retention in distance learning is paramount. This study aims to predict retention and not actual retention by investigating how tutoring support predicts student retention in distance learning at the University of Cape Coast in Ghana. Moore Transactional Distance Theory underpinned the theoretical framework of…

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…

This study examined graduation and persistence among social and behavioral science students at a regional comprehensive university. Hazard analyses identified predictors of student trajectories, times at which predictors were more or less impactful, and interactions between predictors such that particular risk factors were more detrimental for…

The purpose of this investigation was to develop an ultra-short questionnaire that reliably predicted re-enrollment. Two binary stepwise logistic regressions were performed using re-enrollment status as the criterion. The first regression, conducted with a subsample of 4619 undergraduates, reduced 32 items drawn from the College Persistence…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

Researchers have been working to understand the high dropout rates in computer science (CS) education. Despite the great demand for CS professionals, little is known about what influences individuals to complete their CS studies. We identify gains of studying CS, the (learning) environment, degree's usefulness, and barriers as important predictors…

High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors…

Students suffer from stress as a result of many factors, including educational unpreparedness, financial strain and inability to integrate socially. This mixed methods study aimed to investigate stress levels of undergraduate students in a post-1992, Scottish university and the potential for measures of stress to act as an indicator of a student's…

An informal study was conducted of the courses selected by ninth grade students who later dropped out of high school. Longitudinal data were available for high school students in the Austin (Texas) Independent School District, from 1978-79 to 1982-83. The courses selected by high-risk students in ninth grade, including extracurricular activities…

Secondary school students who drop out of school are put at great social and economic disadvantage. If potential dropouts can be identified early, prevention may be possible. To construct a prediction model which, through readily available school information, will aid in the identification of students likely to drop out, schools in the Austin,…

While some comfort can be taken from the figures which indicate a growing retention rate, there is considerable concern over the very large percentage of students who do not complete full schooling. In the first experiment in order to address the question of the differential effects of variables on school retention across a range of cultural…

Although Florida law requires job placement and follow-up services for all students graduating or leaving the school system, there is a lack of understanding about contributing causes and possible solutions to the problem of high school dropouts. To gather information to develop an innovative program to reach dropouts and potential dropouts, 282…

The influence of academic, demographic, and social characteristics of college freshmen on sophomore enrollment status was investigated, along with reasons for attrition. A total of 139 freshmen at St. Edward's University in Texas were surveyed at the beginning and end of the freshman year, using the Survey of Entering Freshmen and the End of…