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…

On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…

Studies with an explicit focus on dropouts in blended language learning (BLL) are rare and non-existent in the Asian context. This study replicates the early qualitative interview study by Stracke (2007), who explored why foreign language learners drop out of a BLL class. While the 2007 study was carried out in the German higher education context,…

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 article provides evidence of critical factors of student retention in Language Massive Open Online Courses (LMOOCs). The study used multiple sources: tracked retention data (n=43,000), survey data in correlation with tracking data (n=400), and qualitative data (174 informants) from a survey (Friðriksdóttir, 2018, 2021a, 2021b). The data came…

Teenagers coming from low socioeconomic backgrounds are at a disadvantage when they are accepted to study at an EMI university in terms of their foreign language readiness. Thus, most of them cannot persist in their endeavor and drop out of university. In this mixed-methods design study, we implemented the Technology Enhanced Active Learning Model…

As the COVID-19 pandemic was spreading rapidly throughout the world, the most widespread reaction in many countries to curtail the disease was lockdown. As a result, educational institutions had to find an alternative to face-to-face learning. The most obvious solution was e-learning. Conventional tertiary institutions with little virtual learning…

The aim of this study is to conduct a situational analysis of the benefits and drawbacks of returning to face-to-face courses in the Leveling Courses of the Universidad de las Fuerzas Armadas ESPE Sede Latacunga during the post-COVID-19 era. This will be done by comparing the virtual study mode in 2022 to the face-to-face mode in 2023. The results…

Flexibility is typical of open universities and their e-learning designs. While this constitutes their main attraction, promising learners will be able to study "anytime, anyplace," this also demands more self-regulation and engagement, a cause for student dropout. This case study explores professors' experiences of flexibility in…

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…

The article aims to develop a machine-learning algorithm that can predict student's graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics…

Despite their popularity, there remains a challenge as to how success should be measured in Language MOOCs. Although traditional metrics such as completion rates have often been adopted, they have failed to take into account the fact that learners enroll in LMOOCs with different learning goals. This study examined how success is perceived in an…

Inadequate academic functioning among students might be a main cause of the considerable dropout rates, and well-being and achievement problems in higher education. Few studies address the role of motivation for academic functioning. Thus, using Self-Determination Theory, the main goal of this study was to investigate motivational determinants of…

Decades of career in adult education confirmed the author's assumption that adult learners possess lots of lived experiences, exhibit different learning styles and have immediate learning needs to fulfil. Some learners may be slow and take time to grasp information while others might be shy, introverts, lack confidence or extroverts who like to…

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…