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…

Purpose: This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a…

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.…

Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…

Purpose: This study examined predictors of cumulative grade point average (GPA) from entrance scores and successive performance during students' academic work in university engineering programs. Design/methodology/approach: Scores from high school coursework, the General Ability Test and the Achievement Test were examined to determine if these…

Data from the Healthy Mind Study were analyzed using hierarchical multiple regression analyses to determine the role of discriminatory experience in students' confidence in their ability to persist through graduation, controlling for age, extracurricular activity participation, housing, years in their degree program, and their sense of belonging.…

This article reports on the results of an investigation of the predictive accuracy of five different mathematical models to identify at-risk students in a Business Statistics course. Low levels of students' success, especially in mathematics-related subjects such as statistics, are a salient problem in South Africa and other countries. Statistical…

Scoring essays written in L2 is one of the most arduous and time-taking tasks for language teachers due to the heavy work involved in the process. In this respect, the present study aimed to build a regression model to predict essay quality using only one or two rhetorical moves in the setting of an English Language Teaching department in Turkey.…

Test-taking is an integral part of students' lives, and the way they approach tests may be of high relevance for their academic outcomes. Therefore, the present study addressed the way college students reflect on the process of preparing for tests. Specifically, it investigated the relevance of students' achievement goals, perceived academic…

The purpose of this study is to investigate the correlation between aggression, empathic tendency, expression of emotions and self-compassion, and to find out whether empathic tendency, expression of emotions and self-compassion significantly predict aggression. The sample of study consists of 526 female and 290 male in total 816 students who are…

Predicting and understanding different key outcomes in a student's academic trajectory such as grade point average, academic retention, and degree completion would allow targeted intervention programs in higher education. Most of the predictive models developed for those key outcomes have been based on traditional methodological approaches.…

Aim of this research is to examine the predictive power of attachment style on problematic internet use among university students. Participants of study consist of 481 university students (230 girls). Results indicate that there is a negative correlation between secure attachment style and social benefit/social comfort and there is a positive…

The purpose of this study is to ascertain whether a student's sense of financial security can increase the degree of predictability of retention over and above the more traditional predictors typically found in the literature, and to get a better sense for how student financial security impacts student persistence decision-making in college. To…

The study was designed to examine the relationship among computer anxiety, computer self-efficacy, computer experience, performance, and engagement. Previous research has demonstrated that these topics are related; however, few studies have included all of these variables. Specifically, this study was designed to answer the following research…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…