Referring to current research on self-regulated learning, we analyse individual regulation in
terms of a set of specific sequences of regulatory activities. Successful students perform …

With the rapid development of online learning technology, a huge amount of e-learning
materials have been generated which are highly heterogeneous and in various media …

In this paper, we propose to use clustering to improve educational process mining. We want
to improve both the performance and comprehensibility of the models obtained. We have …

Metacognition and self-regulation are important for developing effective learning in the
classroom and beyond, but novice learners often lack effective metacognitive and self …

Abstract Massive Open Online Courses (MOOCs) are freely available courses offered online
for distance based learners who have access to the internet. The tremendous success of …

In self-regulated learning, evaluation is a complex task of the teaching process, but even
more if students have social media that allow them to build their personal learning …

With the high development of social networks, collaborations in a socialized web-based
learning environment has become increasing important, which means people can learn …

Challenges of visualization and clustering are explored with respect to sequence data from
a simulation-based assessment task. Visualization issues include representing progress …

One of the most challenging issues in learning analytics is the development of techniques
and tools that facilitate the evaluation of the learning activities carried out by learners. In this …

In association rule mining, interestingness refers to metrics that are applied to select
association rules, beyond support and confidence. For example, Merceron & Yacef (2008) …