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.…

Dropout refers to the phenomenon of students leaving school before completing their degree or program of study. Dropout is a major concern for educational institutions, as it affects not only the students themselves but also the institutions' reputation and funding. Dropout can occur for a variety of reasons, including academic, financial,…

Purpose: The main purpose of this study is to evaluate the extent of dropout students and identify the relationship between risk factors of dropout and the survival time of students. Design/methodology/approach: The Kaplan-Meier estimator (KM), also known as the product-limit technique, is a nonparametric model function that is commonly used in…

Many educational institutions are using predictive models to leverage actionable insights using student data and drive student success. A common task has been predicting students at risk of dropping out for the necessary interventions to be made. However, issues of discrimination by these predictive models based on protected attributes of students…

The under-representation of women in male-dominated STEM fields is a worldwide concern. However, there are other academic fields, like some non-STEM degrees, where female students are over-represented. Previous research has identified five critical factors influencing student participation rates: career choice, satisfaction, self-esteem,…

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…

The Sullivan County School District, a pseudonym, is a specialized district in NYC catering to newcomers and students at risk for high school dropout. In the 2022-2023 school year, there was a significant increase in enrollment of asylum-seeking students living in shelters. Using an improvement science approach, the aim of this study was to…

Purpose: This study examined how vocational education and training (VET) students' satisfaction of basic psychological needs in VET learning environments, namely autonomy, competence, and relatedness, is related to their burnout and intention to leave VET. SelfDetermination Theory was employed in the study. The aim of the study was to contribute…

Although apprenticeships ease the school-to-work transition for youth, many apprentices seriously consider dropping out. While associated with noncompletions, dropout considerations are important to study in their own right, because they reflect a negative quality of apprenticeship experience and can impact apprentices' quality of learning and…

Course dropout is a concern in online higher education, mainly in first-year courses when different factors negatively influence the learners' engagement leading to an unsuccessful outcome or even dropping out from the university. The early identification of such potential at-risk learners is the key to intervening and trying to help them before…

Achieving adequate integration and success at school in the post-compulsory stages involving situations where there is a risk of social exclusion is a real identity challenge for adolescents. In this research, we used a convenience sampling and selected two high schools located in Areas in Need of Social Transformation in Seville (southern Spain).…

Due to the COVID-19 pandemic, contact, education, and employment opportunities have fundamentally changed worldwide. However, various studies have pointed out that not everyone is equally affected by the changed circumstances. This paper focuses on the impact of the pandemic on the study situation in German higher education and explores the…

We analyse the economic returns in lifetime labour income of various educational paths in Germany. Using recent data, we calculate cumulative labour earnings at different ages and for different educational paths while controlling the parental background of individuals. We find that after the age of 55, lifetime labour income is higher for…

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…