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…

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…

Affirmative action policies are oftentimes pitted against the need of universities to maintain meritocratic standards in enrollment. The current study tackles this institutional dilemma against the standard of student attrition. It does so by analyzing records of 41,483 undergraduate students who attended the Hebrew University of Jerusalem…

While student attrition constitutes a major institutional concern at the undergraduate level, this topic is overlooked at the master's level. Dropout rates have been documented, but no solid predictive models are to be found. Likewise, little is known about students' decision to terminate their studies. With growing enrolment numbers in…

Many of the first-year undergraduate students who enrol in universities, particularly in top-ranked private universities in Bangladesh, struggle with getting good grades. As a result, many students look forward to a bleak future, dropping out midway through their studies. Thus, improving the rates of graduation and reducing the rates of attrition…

This year's study is the 35th in a series of annual reports on trends in dropout and attrition rates in Texas public schools. The 2019-20 study builds on a series of studies by the Intercultural Development Research Association (IDRA) that track the number and percent of students in Texas who are lost from public school enrollment prior to…

Studies found that students from low socioeconomic backgrounds have higher odds of dropping out from higher education. Academic hardships were also identified as predictors. The current study utilizes data on 45,752 students who started their studies at The Hebrew University of Jerusalem (2003-2015). Descriptive statistics reveal that 18% of all…

Not all students who enroll in college complete their degree. Students who drop out of college and fail to graduate represent a dilemma for higher education administrators. Determining factors that may lead to attrition has been a topic of discussion amongst educators. The purpose of this study was to determine whether there are any relationships…

The purpose of this dissertation study was twofold. First, this research study examined the role of noncognitive factors on degree completion, academic achievement, and persistence. Second, this research study examined the utility of the Personal Potential Index (PPI) as an avenue to reliably assess noncognitive factors of graduate students that…

The need for a knowledge-based society has perpetuated an increasing demand for higher education around the globe. Recently, there has been an increase in the demand for Computer Science professionals due to the rise in the use of ICT in the business, health and education sector. The enrollment numbers in Computer Science undergraduate programmes…

Academic failure is an important and personal event in the lives of university students, and the ways they make sense of experiences of failure matters for their persistence and future success. Academic failure contributes to attrition, yet the extent of this contribution and precipitating factors of failure are not well understood. To illuminate…

Attrition from Canadian graduate programs is a point of concern on a societal, institutional, and individual level. To improve retention in graduate school, a better understanding of what leads to withdrawal needs to be reached. This paper uses logistic regression and discrete-time survival analysis with time-varying covariates to analyze data…

First-generation (FG) students are generally less likely than their continuing-generation (CG) peers to persist and complete a degree. Using student data available at initial enrollment, this multi-institutional study examines retention and transfer at the second year in relation to academic readiness, financial resources, college intentions,…

Early withdrawal from higher education (HE) programmes can be detrimental for the students and institutions involved. Quantitative research has often concentrated on demographic and social antecedents (e.g. gender, prior education). Other factors may be more open to intervention e.g. students' academic experiences in HE. Using data from an…

Understanding reasons for drop-out, factors contributing to student satisfaction and strategies for enhancing student retention is fundamental to the success of online (language) courses. This study examines drop-out rates, student satisfaction, retention rates and attainment in fully online elementary-level courses for Dutch as a second language…