This study investigates the factors contributing to early school dropout in vocational and technical high schools in Turkey, utilizing machine learning techniques to analyze a dataset of personal, socio-economic, familial, and academic variables. The data was collected via a detailed survey administered to students at one of the largest Vocational…

The purpose of the present investigation is to shed light on the intraindividual (i.e., within-person) process of distancing from the goal of obtaining a PhD. Based on the motivational theory of action crisis, we assume that a lack of both individual (here: self-directed career management) and external (here: social support) resources may fuel…

The Institute of Medicine has found that barriers exist that directly contribute to the underrepresentation of racial and ethnic groups in health professional education. Yet, little research has been done to evaluate the barriers that affect athletic training students. An integrative review was conducted to identify barriers that affect students…

Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…

The present study extends the concept of Organisational Ethical Climate (OEC) to the school context, addressing a gap in the literature that has predominantly investigated this construct in workplace settings. We investigated how shared ethical norms within school shape students' class identification and, in turn, key educational outcomes such as…

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…

This study examined the reasons for high dropout numbers in programs offered through open and distance education (ODE). A mixed method approach was employed to collect data from a purposive sample of instructors and students at the Open University of Sri Lanka. A total of 38 reasons were revealed, of which aligned with existing dropout models as…

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…