As the enrollment cliff of 2025 looms closer, colleges and universities are compelled to explore alternative student populations to counteract the substantial decline in traditional-age college students. Transfer students emerge as a promising demographic to help sustain enrollment numbers and financial stability for colleges and universities.…

The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…

Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…

Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…

In Chile many university students do not persist to graduation. Some students dropped out in the first year, others later. The objective of this study, based on students admitted to but not graduating from selective universities, was to identify factors associated with their academic success and length of persistence before withdrawal. The 707…

Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…

The purpose of this quantitative study was to identify the characteristics of students who persisted in a STEM major and examine differences in the aggregate College Persistence Questionnaire (CPQ) scores of enrolled College of Engineering students by enrollment classification (sophomore students compared to senior students), and type of high…

While food insecurity among college students has existed for decades, only in recent years has the focus on the impact of food insecurity on student success emerged. However, most of the research has been quantitative, conducted at public two-year and four-year colleges and focused on predictors, prevalence, and impact of food insecurity among…

The study aimed to analyze the influence of such factors, as cognitive engagement, learning strategies and social support on academic success and student satisfaction in online learning environments. Data were collected in a cross-sectional survey carried out in the Winter semester of 2023. Participants were 523 students recruited from…

Introduction: College students face increased risk for a variety of mental health problems but experience barriers to treatment access. Prevention programs, including those implemented by peer educators, may decrease treatment needs and increase service access. We examined the implementation of an evidence-based eating disorder prevention program,…

Early college entrance programs have existed in the United States since the 1950s, but in-depth research on academic success in these programs is lacking. Every year, early college entrance programs utilize a variety of data-gathering and candidate-screening techniques to select hundreds of students for admission into these accelerated programs.…

Student academic success plays an important role in higher education institutions, as it is often used as a core measure of university performance. Internationally, there is an extensive literature on the predictors of academic success. In addition to intellectual variables, the effects of psychological factors have received increased attention.…

Longitudinal research on students' interest in higher education showed that interest declines throughout the study program. While researchers reported numerous factors explaining interest on the student level, research on the relationship between the lecturer level and students' interest development is considered scarce. This study aimed to…

Studyholism (SH) is a new potential clinical condition introduced in 2017 by Loscalzo and Giannini to refer to problematic overstudying, specifying that it might be associated with either high or low Study Engagement (SE). We aimed to analyze SH and SE's predictive role on academic resilience. We gathered 609 Indonesian youths, and we performed a…

The purpose of this quantitative correlational-predictive study was to determine if and to what extent Online Full Time Faculty's (OFTF) Emotional Intelligence (EI) Self-Perception, Self-Expression, Interpersonal, Decision Making, and Stress Management, individually and combined, predicted Online Student Success in an online higher education…