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…

The dropout rate is the most significant disadvantage in Massive Open Online Courses (MOOC); most of the time, it exceeds 90%. This research compares the effect of cognitive bias, gamification, monetary compensation, and student characteristics (gender, age, years of education, student geographical location, and interest in the course certificate)…

The decline in doctoral program completion has become one of the main challenges in doctoral education worldwide. As concern about this issue grows, the number of studies examining the topic has also increased. Many of these studies, which aim to identify the factors that contribute to high attrition rates, rely on cross-sectional data and often…

The aim of this work is to provide data-driven insights regarding the factors behind dropouts in Higher Education and their impact over time. To this end, we analyzed students' data collected by a Higher Education Institute over the last 11 years and we explored how socio-economic and academic changes may have impacted student dropouts and how…

Despite the importance of obtaining a university degree, retention rates remain a concern for many universities. This longitudinal study provides a multi-domain examination of first-year student characteristics and behaviors that best predict which students graduate. Graduation status was assessed seven years after students entered university.…

This paper introduces a novel approach to identify at-risk students with a focus on output interpretability through analyzing learning activities at a finer granularity on a weekly basis. Specifically, this approach converts the predicted output from the former weeks into meaningful probabilities to infer the predictions in the current week for…

Dropout is a global crisis and an affliction in the United States. This study analyzes graduation rates based on prior academic achievement, attendance, and behavior at an urban American high school in Virginia over 4 years to identify who is (not) graduating and why. Using a correlational, nonexperimental design, four cohorts of graduates were…

The purpose of this paper is to investigate the pre-enrollment attributes of first-year students at Computer Science BSc programs of the University of Miskolc, Hungary in order to find those that mostly contribute to failure on the Programming Basics first-semester course and, consequently to dropout. Our aim is to detect at-risk students early,…

Even though distance education from the home environment has seemed comfortable and economic for students with disability in formal higher education during the pandemic, insufficiency in their academic self-efficacy, satisfaction and an increasing tendency to drop out were observed. This quantitative research is based on development of the scales…

Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…

This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

Due to the of use of ICTs and ODL, Virtual University (VU) has become one of leading distance learning university in Pakistan. However, the retention rate among online learners found considerably low. The primary objective of this research was to dig out determinants of retention of MS/MPhil students at VU and modeling their retention by…

An adequate number of healthcare providers is an essential factor in the prosperity of a population. One challenge faced by universities is student dropout. This case-control study aimed to examine the academic, psychological, medical, social, as well as female-related risk factors at a health-sciences university in Saudi Arabia in the academic…

This study, using a time-lagged design, investigated whether or not a relationship between the dimensions of resilience and engagement, and the academic performance of first-year university students, existed. Moreover, we investigated whether or not the dimensions of resilience and engagement were different in students who dropped out of their…

Improvement in education has been one of the strategies of the government of Chile to reduce economic inequality. To that end, it recently established a system of Second Opportunity Centers that enroll out-of-school youth who have not completed high school. The system is modeled on so-called alternative schools operating in Europe and the United…