This paper presents a narrative review of the literature related to the landscape of learning
and teaching in Massive Open Online Courses (MOOCs). Past reviews of the MOOC …

Can we nudge children, adolescents and their parents to make better decisions on
education? And can we nudge teachers to support and encourage better decision making …

To gain more insight into the issue of high dropout rate in MOOC learning, this study aims at
exploring the factors underlying the continuance intention to learn in the Massive Open …

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 purpose of this study is to contribute to a better understanding of the complexity of
conceptualising and measuring learner engagement in Massive Open Online Courses …

One side-effect of the COVID-19 pandemic has been increased enrollment in online classes.
The paper explores the surge in activity from March through June 2020 in two massive open …

This study tries to propose a unified model integrating the unified theory of acceptance and
use of technology (UTAUT) model, task–technology fit (TTF) model, and user satisfaction to …

Predictive models of student success in Massive Open Online Courses (MOOCs) are a
critical component of effective content personalization and adaptive interventions. In this …

Massive open online courses (MOOCs) are a growing element in strategic decision-making
in higher education. However, since only a small percentage of enrollees complete MOOCs …

This study aimed to understand the psychological processes underlying learners'
continuance intention to participate in massive open online courses (MOOCs). We proposed …