Taking a leave of absence (LoA) has been identified as an important precursor and risk factor for attrition for many university students. This study describes a proactive outreach intervention to students on LoA through the lens of Tinto's theory of student integration. Historical trends in the university of interest indicate just under 9% of…

The increased availability of technology in higher education has led to the growth of online learning platforms. However, a significant concern exists regarding dropout rates in online higher education (OHE). In this ever-evolving landscape, student attrition poses a complex challenge that demands careful investigation. This systematic literature…

Student attrition from STEM disciplines is one of the most pressing issues in higher education. To better understand the causes of this attrition, this study examines STEM students' college experiences and uncovers their perspectives on the existing support systems with a specific focus on the role of academic advising. Our research reveals that…

This study's purpose is to examine whether resilience, conceptualized by Connor and Davidson (2003) as one's capacity to persevere and rebound under adversity, was a potential mitigating and/or moderating factor in the dynamic between both psychological distress and academic burnout, and student attrition. We concurrently distributed a survey…

Attrition in higher education is an issue that continues to plague students and institutions alike. The attrition of second-generation millennial college students is important due to their unique generational circumstances and positioning in society. However, there is little known about the experiences of college-educated parents when their…

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…

Mental health problems are learning problems. Students seeking services at campus counseling centers are at increased risk of attrition. If the retention rate of college students seeking counseling center services is close to the retention rate of the overall student population, this is evidence of a significant positive effect for counseling…

The Division of Student Engagement and Enrollment Services at Old Dominion University (ODU) submitted a Request for Assistance to examine the challenges sophomore students face that can lead to attrition. A doctoral research team conducted an exploratory, sequential, mixed-methods study consisting of a literature review, focus groups and…

Peer coaching is a formal program whereby successful students support their peers in attaining academic and social goals. Survey results unveiled that 90 percent of coachees felt peer coaches enhanced learning, and 100 percent felt peer coaches engendered a sense of community and belonging. More than 85 percent of coachees planned to persist in…

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…

Online courses are popular in community colleges among students of different backgrounds. However, compared to community college students who take face-to-face courses, those who take online courses earn lower grades and are less likely to receive a diploma or transfer to a four-year institution. Designing courses to facilitate social presence, as…

Massive open online courses (MOOCs) are now well-established as a highly effective, flexible and large participation capacity distance learning tool. They have enabled unprecedented access to educational material for millions of people worldwide, however, still suffer from significant student non-completion. Various theories have been proposed but…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…