A review of online course dropout research: Implications for practice and future research

Y Lee, J Choi - Educational Technology Research and Development, 2011 - Springer
Although online learning is expanding in availability and popularity, the high dropout rates
remain a challenging problem. In this paper, we reviewed the existing empirical studies on …

[PDF][PDF] Factors associated with student persistence in an online program of study: A review of the literature.

C Hart - Journal of interactive online learning, 2012 - itecideas.pbworks.com
This integrated literature review examined factors associated with the ability of students to
persist in an online course. Lack of persistence in online education and its' consequence of …

Distance education: A systems view of online learning

MG Moore, G Kearsley - 2012 - academia.edu
Moore and Kearsley propose that a distance education system contains subsystems and is
also embedded within larger systems. They begin their book by likening distance education …

Distance education and the evolution of online learning in the United States.

HE Kentnor - Curriculum & Teaching Dialogue, 2015 - books.google.com
Online education is no longer a trend. Rather, it is mainstream. In the fall of 2012, 69% of
chief academic leaders indicated online learning was critical to their longterm strategy and …

Understanding the most important facilitators and barriers for online education during COVID-19 through online photovoice methodology.

I Doyumgaç, A Tanhan, MS Kiymaz - International Journal of Higher Education, 2021 - ERIC
There are three main research goals in this study including (a) understanding the most
important facilitators (support, strength) and complicators (barrier, concern, issues …

Educational data mining and learning analytics

RS Baker, T Martin, LM Rossi - The Wiley handbook of …, 2016 - Wiley Online Library
In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

[BOOK][B] Learning online: What research tells us about whether, when and how

B Means, M Bakia, R Murphy - 2014 - taylorfrancis.com
At a time when more and more of what people learn both in formal courses and in everyday
life is mediated by technology, Learning Online provides a much-needed guide to different …

Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses

YC Kuo, AE Walker, KEE Schroder… - The internet and higher …, 2014 - Elsevier
Student satisfaction is important in the evaluation of distance education courses as it is
related to the quality of online programs and student performance. Interaction is a critical …

Mining LMS data to develop an “early warning system” for educators: A proof of concept

LP Macfadyen, S Dawson - Computers & education, 2010 - Elsevier
Earlier studies have suggested that higher education institutions could harness the
predictive power of Learning Management System (LMS) data to develop reporting tools that …

A predictive study of student satisfaction in online education programs

YC Kuo, AE Walker, BR Belland… - International Review of …, 2013 - erudit.org
This paper is intended to investigate the degree to which interaction and other predictors
contribute to student satisfaction in online learning settings. This was a preliminary study …