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…

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 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…

Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…

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…

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…

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…

Due to the unprecedented growth in available data collected by e-learning platforms, including platforms used by massive open online course (MOOC) providers, important opportunities arise to structurally use these data for decision making and improvement of the educational offering. Student retention is a strategic task that can be supported by…

Social, financial, and academic stress often generate difficulties and may be associated with students' self-efficacy and enrollment status. A large percentage of students who initially enroll in college often do not make it to graduation. There are several reasons why college students drop out or stop out and there is a crying need for a solution…

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,…

The aim of this study was to understand the factors that affect returning students' ability to complete their degrees through online degree programs. Logistic regression was used to determine which factors had a significant relationship with persistence to graduation and how they contributed to the odds of students graduating. The findings show…

Aimed at a massive outreach and open access education, Massive Open Online Courses (MOOC) has evolved incredibly engaging millions of learners' over the years. These courses provide an opportunity for learning analytics with respect to the diversity in learning activity. Inspite of its growth, high dropout rate of the learners', it is examined to…