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…

Young adult carers are four times more likely than other students to drop out of higher education and are amongst the under-represented and disadvantaged groups targeted in the National Strategy for Access and Student Success in Higher Education in the UK. Non-completion of studies has implications not just for the individuals themselves, but also…

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…

This paper summarizes a three-year quasi-experimental evaluation with school-level assignment of a social-emotional learning (SEL) program for high school students who are at-risk of dropping out before college graduation. The field-initiated program aimed to increase students' social and emotional skills, develop their character, and increase…

Retention of students is a problem faced by institutions of higher education around the world. Higher education institutions are required to report retention data to government agencies and they depend on tuition funding more than ever before. Prior research has identified many characteristics that when present, increase the likelihood of early…

There is growing evidence that school engagement, or more specifically disengagement, is a key indicator for predicting Early School Leaving. The aim of this article is to explore the impact of secondary schools in student (dis)engagement and subsequent opportunities to succeed in school. Drawing on data from a qualitative study in five secondary…

Low-income students enrolled in a four-year, public institution are three times more likely to drop out after their first year of study than their higher-income peers (Engle & Tinto, 2008, p. 11). The exorbitant price of college tuition plays a significant role in how low-income students are underserved by the current postsecondary system.…

Tackling early leaving from education and training (ELET) is one of the main education policy targets of the European Union and many of its member states. This paper offers new insights on this issue by studying how so-called at-risk students develop their educational trajectory by embedding their attitudes towards and engagement in schooling…

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…

In South Africa, the educational attainment of African children has been a focal point of policy and research since the end of apartheid in 1994. Individual and policy-level determinants of child development and educational outcomes have been exhaustively investigated. A less researched perspective is the role of community and household…

This study examined a sample of 2,475 undergraduate students to determine the influence of financial stress, debt loads, and financial counseling on retention rates. Results indicate, among other findings, that financial stress contributes to an increased likelihood of discontinuing college. Self-reported student loan debt contributes to an…

Identities extend standard models that explain student motivations to complete courses at technical college. A differential hypothesis was that profiles of identities (individuality, belonging and place) explain the self-concepts and task values that contribute to participation, considering demographic factors (age, gender, location, paid work).…

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…

This article examines responses of 13 preservice students to a mentoring program during their junior year. Throughout the first two terms of a five semester teacher education program, senior physical education specialists agreed to mentor them (in pairs or trios) relative to their development. This qualitative analysis included collection of…