This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…

Dating back to 1998, researchers established that adults learn differently than younger, recent high school graduates. Even with decades of research on the topic, approximately 39 million American adults have attended college but left school without obtaining a degree. The research questions addressed the purpose of this qualitative exploratory…

Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…

This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…

In many countries with apprenticeship-based vocational education and training (VET), dropout from apprenticeship training is a major concern. Leaving an apprenticeship early can be problematic, particularly for young people who do not continue their training at another company or in another occupation, and drop out of the education system without…

Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…

A prerequisite for learning is that instructions and other learning activities take place in a language that you understand. This may seem self-evident, but fact remains that most learners in Sub-Saharan Africa (SSA) are taught in a European second language (L2) that they are unfamiliar with. Frequently, the role of the home languages in the…

School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…

Theories of student engagement for dropout and school completion are proposed to begin as early as age five. Student engagement in elementary-age students has been linked to school completion, post-secondary education, and achievement. However, there is little research examining patterns and profiles of student engagement in this population. In an…

University students of Business Administration and related fields have high dropout rates, with previous research identifying student profiles of dropouts in business studies. Evidence is lacking for other university systems. Austria (Europe) allows for multiple enrollments and students with multiple enrollments accomplish more workload even after…

This article investigates whether experiences of the PhD trajectory during the first year of enrolment predict dropout during a later stage. More specifically, we studied how supervisor support, time pressure and passion for research relate to dropout among PhD students and assessed the role of discipline in this process. We used longitudinal data…

The purpose of this study is to examine research on school dropout in open and distance education in the Web of Science (WoS) database using bibliometric analysis and to reveal trends in this area. In line with this goal, a total of 1,615 studies published between 1980 and 2022 were identified in the Web of Science (WoS) indexes. Descriptive and…

The general problem to be addressed by the current study is the increasing percentage/count of dropouts of non-traditional students from online college degree programs. Guided by the theory of Perceived Organizational Support (POS), the purpose of this quantitative study was to investigate how POS is related to perceptions of faculty support,…

Learners of mathematics who are linguistically disadvantaged for a variety of reasons, including impoverished socioeconomic status, continue to be educationally disadvantaged and at considerable risk of school failure and early dropout. This is the case in many parts of the world. While much has been researched on linguistically disadvantaged…

Nontraditional students make up a majority of post-secondary online learners in the United States. The development of online learning modalities continues to grow and transform the educational landscape, providing expansive options and vastly improving student access to completing an undergraduate program. Unfortunately, with this growth, online…