We examine the mechanisms explaining the dropout intentions of students with disabilities by integrating Tinto's model of student integration, the student attrition model, the composite persistence model, and insights from social stratification research. The resulting theoretical model posits that not only students' academic and social…

Study success in Higher Education is of primary importance in the European policy agenda. Yet, given the diverse educational landscape across countries and institutions, more coordinated action is needed to gain a more solid knowledge of the dropout phenomenon. This study aims to gain a better insight into students' dropout based on an integrated…

Early dropout of students is one of the bigger problems that universities face currently. Several machine learning techniques have been used for detecting students at risk of dropout. By using sociodemographic data and qualifications of the previous level, the accuracy of these predictive models is good enough for implementing retention programs.…

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 transition from school to university mathematics is a challenging process for many students. This phenomenon is reflected by high dropout rates from mathematics programs especially during the first year at university that may be related to the development of students' mathematical interest and self-concept. Taking a learning psychological…

This research explores who is at risk of dropping out of high school and how collaborative Student Support Teams can contribute to students staying on track to graduate high school. The issue of student success is important because graduation is positively correlated with important life outcomes and ability to earn an adequate income in the labor…

The importance of close social contacts in the educational process has been widely documented, but mainly for the school sector. The present article examines the importance of close relationships on university students' dropout tendencies. Using longitudinal panel data collected at a medium-sized German university, students (N = 7,169) were…

As a specific driver for the transformation of education systems in Morocco, inclusive education is a process that aims to reduce the exclusion of children with disabilities. Indeed, few studies have analysed the exclusion factors that cause children with disabilities not to pursue their education. Based on this, the present paper explores the…

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…

Purpose: The main purpose of this study is to identify the socioeconomic determinants of dropout from primary schools and to give policy suggestions to address the issue. Design/methodology/approach: A total of 600 dropout and enrolled respondents were selected from 60 government primary schools of district Chiniot. School heads and parents of…

The purpose of this investigation was to develop an ultra-short questionnaire that reliably predicted re-enrollment. Two binary stepwise logistic regressions were performed using re-enrollment status as the criterion. The first regression, conducted with a subsample of 4619 undergraduates, reduced 32 items drawn from the College Persistence…

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…

How to identify at-risk students in open online courses has received increasing attention, since the dropout rate is unexpectedly high. Most prior studies have focused on using machine learning techniques to predict student dropout based on features extracted from students' learning activity logs. However, little work has viewed the dropout…

Currently in Kenya, secondary school government bursaries are administered through committees set up at the level of parliamentary constituencies. However, there is widespread consensus that this system is not functioning adequately, as the process is often haphazard and funds are often spread too thinly across students. The Ministry of Education…

Each school year, roughly a thousand students drop out of Montgomery County (Maryland) Public Schools (MCPS). However, unlike other large, urban school districts where students who drop out skip school and are suspended often (Balfanz & Byrnes, 2010), students who drop out of MCPS are present in school; they just are not doing well…