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…

Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…

Although there has been a growing body of research on student-athlete retention in higher education, no studies to date have conducted a meta-analysis for investigating predictors of student-athlete retention and attrition. Moreover, the results of existing literature indicate that the factors impacting collegiate athletes' retention are mixed.…

Quality assurance in higher education often emphasises the importance of lowering student attrition. The first year of study is a crucial period for mitigating risks of attrition as this is the time when students develop a sense of belonging, and academic and personal connections. This study explores the long-term effects of the first-year student…

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 article presents research on persistence among at-risk students using network analysis following multiple linear regression (MLR). Data on a population of enrolled undergraduate students at an urban-serving university over several years (P = 35,239) is tested using multiple linear regression. Variables interacting at different dimensions of…

Each year, roughly 30% of first-year students at US baccalaureate institutions do not return for their second year and billions of dollars are spent educating these students. Yet, little quantitative research has analyzed the causes and possible remedies for student attrition. What's more, most of the previous attempts to model attrition at…

Problem: Undergraduate and graduate students frequently experience psychological distress that often results in impairment and psychopathology, and effective interventions are thus needed. This work represents a replication of Mindfulness-Based Stress Reduction (MBSR) to reduce psychological distress; secondary objectives include: evaluating…

This study examined whether students who left biomedical fields of study during college did so primarily because they became disenchanted with those fields or because they felt attracted to alternative fields of study. We identified 1,193 students intending to pursue biomedical fields of study early in college, collected data about their beliefs…

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,…

With an increasing number of students enrolling into Australian universities, developing an understanding of the variables underlying academic success, is growing in importance. In the present study, three first-year cohorts (2013-2015) studying towards five allied health or science degrees (n = 1,676 students) were examined to ascertain the…

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…

College student attrition rates remain constant despite institution level efforts. This retrospective archival study examined how individual instructors at the course level might impact academic success and retention by acting on a real time at risk warning system. Five semesters of scores on the first exam in an undergraduate psychology course…

Roughly half of all undergraduate students in the United States fail to persist to degree completion (American College Testing [ACT], 2010; Tinto, 1993; U.S. Department of Education, National Center for Education Statistics, 2013). Adult students often have higher levels of attrition than traditional-age students (Justice & Dornan, 2001;…

This paper reports on the process involved in attempting to build a predictive model capable of identifying students at risk of failure in a first year accounting unit in an Australian university. Identifying attributes that contribute to students being at risk can lead to the development of appropriate intervention strategies and support…