The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

This paper surveys the state of the art on prediction in MOOCs through a systematic
literature review (SLR). The main objectives are: first, to identify the characteristics of the …

Students are prone to experiencing learning burnout while engaged in online learning due
to the lack of interaction. However, peer feedback can play an important role in alleviating …

The purpose of this study is to propose a unified model integrating the technology
acceptance model (TAM), task fit technology (TTF) model, MOOCs features and social …

The increased use of online discussions in learning environments both formal and informal,
positions the construct of interactivity as central to learning. Interactivity in learning …

Sentiment analysis is one of the great accomplishments of the last decade in the field of
Language Technologies. In this paper, we explore mining collective sentiment from forum …

Massive open online courses (MOOCs) have recently taken center stage in discussions
surrounding online education, both in terms of their potential as well as their high dropout …

This study investigated learner support strategies that enable the success and completion of
Massive Open Online Courses (MOOCs). It examined five MOOCs categorised into three …

Researchers describe with increasing confidence what they observe participants doing in
massive open online courses (MOOC s). However, our understanding of learner activities in …

In the last five years, the world has seen a remarkable level of interest in Massive Open
Online Courses, or MOOCs. A consistent message from universities participating in MOOC …