We study how student behaviors associated with disengagement differ between different school settings. Towards this, we investigate the variation in the frequency of off-task behav...
This paper presents an analysis tool for comparative and collaborative evaluation of mobile artefact usage. Three scenarios were envisioned for the comparative dimension covering b...
We present our ongoing work on language technology-based e-science in the humanities, social sciences and education, with a focus on text-based research in the historical sciences...
In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
This paper presents the development of two related machine-learned models which predict (a) whether a student can answer correctly questions in an ILE without requesting help and (...