Background During the past decade, the increasingly heterogeneous field of learning
analytics has been critiqued for an over‐emphasis on data‐driven approaches at the …

Success prediction in Massive Open Online Courses (MOOCs) is now tackled in numerous
works, but still needs new case studies to compare the solutions proposed. We study here a …

Providing high-quality courses is of utmost importance to drive successful learning. This
compels course authors to continuously review their contents to meet learners' needs …

Delivering high-quality content is crucial for effective reading comprehension and successful
learning. Ensuring educational materials are interpreted as intended by their authors is a …

Learning Analytics (LA) consists of miscellaneous steps that include data harvesting, storing,
cleaning, anonymisation, mining, analysis, and visualisation so that the vast amount of …

Ensuring the delivery of high-quality courses that foster successful learning outcomes is
crucial. Course authors are faced with the ongoing challenge of revising their content to …

A challenge that course authors face when reviewing their contents is to detect how to
improve their courses in order to meet the expectations of their learners. In this paper, we …

Learning dashboards aim to support decision-making throughout the learning process.
However, their widespread adoption remains limited. While this observation can be …

The delivery of high-quality content is essential for effective reading comprehension and, by
extension, successful learning. However, ensuring that educational materials are interpreted …

The Progressive Visual Analytics (PVA) paradigm has been proposed to alleviate difficulties
of Visual Analytics when dealing with large datasets or time-consuming algorithms, by using …