Research into self-regulated learning has traditionally relied upon self-reported data. While
there is a rich body of literature that has extracted invaluable information from such sources …

Pair programming (PP), as a mode of collaborative problem solving (CPS) in computer
programming education, asks two students work in a pair to co-construct knowledge and …

As higher education diversifies its delivery modes, our ability to use the predictive and
analytical power of educational data mining (EDM) to understand students' learning …

We investigate and compare online consumer behavior on an e-retailer website in mobile
versus PC devices, through the application of a web usage mining approach on clickstream …

Understanding the way learners engage with learning technologies, and its relation with
their learning, is crucial for motivating design of effective learning interventions. Assessing …

In this paper, we present a data-based user modeling framework that uses both
unsupervised and supervised classification to build student models for exploratory learning …

As collaborative learning is actualized through evolving dialogues, temporality inevitably
matters for the analysis of collaborative learning. This study attempts to uncover sequential …

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 …

Using data to generate a deeper understanding of collaborative learning is not new, but
automatically analyzing log data has enabled new means of identifying key indicators of …

With the widespread adoption of Learning Management Systems (LMS) and other learning
technology, large amounts of data–commonly known as trace data–are being recorded and …