Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…

The majority of adolescents communicate via text-based messaging, particularly through WhatsApp, a widely used free communication application. Written content on WhatsApp has the methodological potential to provide rich qualitative interview data. This study compares data collected using text-based WhatsApp versus face-to-face interview…

Success for 4-year universities is often measured by graduation and retention rates; however, gaps exist in understanding nonreturning students at private institutions. Recent research is helping to build the lexicon of drop-outs, stop-outs, opt-outs, and transfer-outs to inform strategic retention initiatives. Using an action research method, we…

Students who drop out of university cite various reasons for their decision. Female enrolment has significantly increased over the past few decades and is now higher than male enrolment. In terms of performance, it is recognised that women perform better than males do, and fewer women drop out of university than men do. However, the relationship…

Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…

Students with high incidence disabilities are dropping out of high school at alarming rates. Compared with other demographic groups, students with disabilities have the lowest graduation rates of any group in the nation. The substandard graduation rates have remained stagnant for two decades, indicating that programmatic attempts to address the…

Policy research established that it is possible to predict a student will drop out of school based on academic, attendance, behavior indicators. Little is known about the processes that put Early Warning Systems (EWS) in place. This case study of the Montana EWS describes the characteristics of a statewide implementation, the efficiency of the EWS…

Early dropout of students is one of the bigger problems that universities face currently. Several machine learning techniques have been used for detecting students at risk of dropout. By using sociodemographic data and qualifications of the previous level, the accuracy of these predictive models is good enough for implementing retention programs.…

Every year around 1.2 million students drop out of school in the US. According to a UNICEF report enrollment in educational institutions in Lebanon dropped from 60% in 2020-2021 to 43% in 2021-2022. The National Dropout Prevention Center (NDPC) at Clemson University has identified an extensive set of risk factors organized into four domains:…

Understanding the drivers of student dropout from higher education has been a policy concern for several decades. However, the contributing role of certain factors--including student mental health--remains poorly understood. Furthermore, existing studies linking student mental health and university dropout are limited in both methodology and…

The relationship between engagement and the intention to drop out was the focus of this research. Following an empirical-analytical approach, a sample of 1,122 university students responded to a questionnaire designed to measure the engagement and the intention to drop out of school. The results confirmed that undergraduates who considered…

Background: Although most engineering graduate students are funded and usually complete their degrees faster than other disciplines, attrition remains a problem in engineering. Existing research has explored the psychological and sociological factors contributing to attrition but not the structural factors impacting attrition. Purpose/Hypothesis:…

The study's overarching goal was to look into the factors that contribute to school dropout among primary school students in Fagita Lekoma District. To this end, this study used a convergent parallel research design. The participants of the study comprised District Education Officers, school principals, teachers, PTA members, and dropout pupils.…

The rise of Massive Open Online Courses (MOOCs) has democratised education, yet student dropout remains a persistent challenge. This research tackles this issue by analysing 1,273 publications on MOOC dropout rates (2020-2023) from the Scopus database using VOSviewer, a bibliometric analysis tool. By mapping the intellectual landscape, the study…

In this article, we explore the reasons why individuals who have dropped out of compulsory education in Greece return as adults to the educational system, particularly to Second Chance Schools. Second Chance Schools were planned and funded by the European Union two decades ago so that member states could offset the consequences of student dropout…