This article analyses the main reasons for dropping out of Spanish Intermediate Vocational Education (IVET) and the link to personal (sex, ethnicity, age), family (parents' educational level) and financial sociodemographic characteristics, as well as academic background (repeating or expulsion). To do this, a cohort of IVET students was monitored…

Contribution: This study proposes a student dropout prediction model, named image convolutional and bi-directional temporal convolutional network (IC-BTCN), which makes dropout prediction for learners based on the learning clickstream data of students in massive open online courses (MOOCs) courses. Background: The MOOCs learning platform attracts…

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…

During the COVID-19 pandemic, the challenges associated with the transition from face-to-face to emergency remote education increased concerns about student dropout. Aligned with this concern, this study investigates the impact of the pandemic on the dropout patterns of 3371 undergraduate students from a Brazilian institution. Using data mining…

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…

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:…

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…

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:…

We examine the mechanisms explaining the dropout intentions of students with disabilities by integrating Tinto's model of student integration, the student attrition model, the composite persistence model, and insights from social stratification research. The resulting theoretical model posits that not only students' academic and social…

Study success in Higher Education is of primary importance in the European policy agenda. Yet, given the diverse educational landscape across countries and institutions, more coordinated action is needed to gain a more solid knowledge of the dropout phenomenon. This study aims to gain a better insight into students' dropout based on an integrated…

This qualitative phenomenological study examined the lived experiences of Black men, who enrolled in a college or university degree program in the state of Florida and subsequently left the program before completion to gather insights on their reasons for dropping out. Hence, this study aims to address the issue of Black males' lack of persistence…

The objective of this paper is the design of a predictive model of students' desertion in Educational Institutions based on the Analytic Hierarchy Process (AHP). The proposed model is based on a weighted sum of individual probabilities of desertion associated with various factors (explanatory variables) by experts in the combined use of the AHP…

This research seeks to understand the determinants of student dropout in the courses offered at the Open University of Brazil system at the Federal University of Santa Maria. The research used the following methods: survival function, factorial analysis, and logistic function. Results indicated that male students, with higher levels of income, who…

This study examines the influence of social contexts on the decision to either complete or leave the first vocational education and training (VET) position among young German apprentices--an aspect that has received little attention in dropout research. In particular, the role of three reference groups--parents, friends and classmates at…

Dropout is a global and complex phenomenon affecting all universities. This study aimed at investigating the intrinsic and extrinsic factors causing dropout at the Open University of Mauritius (OU). Secondary data about 1885 learners were collected for five intakes and three levels of study -- foundation, undergraduate and Master courses. The…