Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…

Purpose: This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested. Design/methodology/approach: A cross-sectional design was used. For the study on intention to drop out, 1,820…

A main goal of the university institution should be to reduce the desertion of its students, in fact, the dropout rate constitutes a basic indicator in the accreditation processes of university centers. Thus, evaluating the cognitive functions and learning skills of students with an increased risk of academic failure can be useful for the adoption…

The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

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…

On March 11, 2020, the World Health Organization declared COVID-19 a global pandemic, resulting in disruptions to education at an unprecedented scale. In response to the urgent need to recover learning losses, countries worldwide have taken RAPID actions to: Reach every child and keep them in school; Assess learning levels regularly; Prioritize…

Undergraduate student dropout is gradually becoming a global problem and the 39 Small Islands Developing States (SIDS) are no exception to this trend. The purpose of this research was to develop a method that can be used for early detection of students who are at-risk of performing poorly in their undergraduate studies. A sample of 279 students…

There are many factors which might cause a student to drop out of a course of study; some of these are preventable. This paper describes the piloting of a survey tool designed to identify students at risk of not completing. Attendance was found to be the strongest predictor of module completion; low or declining scores on the survey were also…

Examined dropping out of school in four schools in Israel. Found significant differences in attitudes of persistent students and dropouts even before act of dropping out occurred. In vocational, comprehensive, and agricultural schools, dropouts scored more positively than persistent students on Anderson's Alienation Scales: self-estrangement,…

Administered Self-Directed Search to 596 American Indian high school students, 168 of whom dropped out during the time frame of the study. Found above average dropout rates for girls with Realistic and Social interest preferences. Boys with Enterprising codes had above average dropout rates. Lowest dropout rates were for girls with Investigative…