Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…

In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…

The purpose of this research investigation was to look at the factors that lead to isolation, lack of student inspiration and motivation, lack of student engagement and lack of student retention in the asynchronous online learning environment. The study further delves into how the use of cognitive and neuroscience research can inform the design of…

This article, originally published in "Distances et Savoirs" (D & S--7/2009. "A la Croisee des Recherches," p571-584) reviews the key ideas related to increasing student learning and support described in selected chapters from the second edition of the "Handbook of Distance Education" (Moore 2007). These chapters described research findings…

There is a highly compelling case for using technology on a large scale to increase access to and improve America's adult education and workforce skills enterprise. By the reckoning of the National Commission on Adult Literacy and others, the nation must reach many more millions of adults with effective college- and job-readiness skills programs…