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…

To investigate the incidence and accountable factors for the potential dropout thoughts among Saudi medical students. A cross-sectional survey questionnaire based study was conducted among Saudi medical students enrolled at the College of Medicine, King Saud University. A total number of 587 (39.13%) medical students out of [approximately]1,500…

This paper explores the importance of different parameters influencing young people's Early Leaving of school or training (EL) in applying a five-category research framework, which includes: personal challenges, family circumstances, institutional risks, social relationships and structural risk factors. This paper compares the German and the…

Purpose: This study aims to advance the understanding on individual variations in PhD candidates' personal interest in their doctorate and supervisory and research community support, and several individual and structural attributes potentially having an impact on the profiles. Design/methodology/approach: The authors explored the interrelationship…

At the beginning of the 2010 decade, the world of education and more specifically e-learning was revolutionized by the emergence of Massive Open Online Courses, better known by their acronym MOOC. Proposed more and more by universities and training centers around the world, MOOCs have become an undeniable asset for any student or person seeking to…

A sense of belonging is important as it incorporates feelings of being valued, included and accepted at university. Research suggests that higher education students who have a greater sense of belonging tend to have higher motivation, more academic self-confidence, higher levels of academic engagement and higher achievement. This article presents…

Purpose: The present study investigates the influence of five personality traits based on the Big Five model, i.e. extraversion, neuroticism, conscientiousness, agreeableness and openness to experience and personal innovativeness on learners' intention to complete MOOCs. Design/methodology/approach: The proposed model was empirically tested using…

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…

The issue within education reform of high dropout rates has been an enduring problem for education in the United States (U.S.) since the 1960s. Dropping out of high school is associated with a broad range of social pathologies in adulthood, including poor job prospects, the propensity to engage in criminal behavior, out-of-wedlock births, low…

Ninth grade is a critical juncture for students--and can be a jarring transition. Even students a strong track record in the middle grades can experience academic difficulty, and those who enter high school with poor course grades, weak attendance, or behavior problems are especially at risk. An early misstep can have lasting implications:…

This current paper uses data collected as part of an efficacy trial funded by a grant from the Institute of Education Sciences (IES) National Center for Education Research (NCER) (See Symposium Justification and Paper #1 for a more complete description of the focus of the broader study). Since participation in the study was voluntary, students…

May 14, 2013 marked the 10 year anniversary of the creation of the Louisiana Recovery School District (RSD), the turnaround intervention for low performing public schools. Since 2003, the RSD has grown to include over 80 schools across the state. The purpose of this multilevel longitudinal study was to examine the relationship of the Louisiana…

Dropping out of high school has negative results and implications for individuals and society. The likelihood of dropping out is attributed to both social and academic risk factors. Poor high school attendance, low course completion, and low grade-point-average (GPA) have been identified as three leading indicators that students are at risk for…

The purpose of this quantitative research study was to identify if there was a relationship between student or administrator characteristics (Independent variables) and the application of various disciplinary actions (Dependent variables). This study examined student's gender, race, grade point average, number of credits, and disciplinary…

This study of high school outcomes in the Baltimore City Public Schools builds on substantial prior research on the early warning indicators of dropping out. It sought to investigate whether the same variables that predicted a non-graduation outcome in other urban districts--attendance, behavior problems, and course failure--were also significant…