Learning mostly involves communication and interaction that leads to new information being
processed, which eventually turns into knowledge. In the digital era, these actions pass …

This paper proposes a multilayered methodology for analyzing distance learning students'
data to gain insight into the learning progress of the student subjects both in an individual …

From the data loading to the final reporting, a Learning Analytics (LA) cycle should be an
articulated yet structured and repeatable process. Data from the online students' activity can …

Distance Learning has become the “new normal”, especially during the pandemic and due
to the technological advances that are incorporated into the teaching procedure. At the same …

Distance Learning has moved almost completely online, gaining ground in an educational
setting of constantly increasing demand. Physical distance poses barriers in the …

New challenges in education demand effective solutions. Although Learning Analytics (LA),
Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea …

In this study, we applied the HITS algorithm, an advanced network-based algorithm that
produces the metrics “Authority” and “Hub” to indicate the importance of the nodes (tutors …

This work is aiming to contribute to the field of Distance Learning through Learning
Analytics. We propose a methodological framework based on network analysis metrics to …

In the era of data abundance, the ability to leverage data to assess the learning process is of
great importance. Learning Analytics has been widely used and different approaches of …

Distance learning technology and online learning are here to stay. The pandemic crisis
made that very clear but the increasing number of the students who are grown up as “digital …