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 …

Despite a surge of empirical work on student participation in online learning environments,
the causal links between the learning-related factors and processes with the desired …

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 …

Massive open online courses (MOOCs) are among the latest e-learning initiative that have
gained a wide popularity among many universities. Student dropout in MOOCs is a major …

During the widespread development of open access online course materials in the last two
decades, advances have been made in understanding the impact of instructional design on …

Learning is mediated by language of instruction and social engagement. Both factors may
play a significant role in understanding motivation to learn in massive open online courses …

Big data in education offers unprecedented opportunities to support learners and advance
research in the learning sciences. Analysis of observed behaviour using computational …

Meeting global demand for growing the science, technology, engineering, and mathematics
(STEM) workforce requires solutions for the shortage of qualified instructors. We propose …

Individuals with strong self-regulated learning (SRL) skills, characterized by the ability to
plan, manage and control their learning process, can learn faster and outperform those with …

The open and massive characteristics of Massive Open Online Course (MOOC) lead to a
lack of instructor presence, which potentially hinders learners' commitment and learning …