Detecting and Reflecting Learning Activities in Personal Learning Environments

This paper presents an approach for supporting awareness and reflection of learners about their cognitive and meta-cognitive learning activities. In addition to capture and visualise observable data about the learning behaviour, this approach intends to make the leaner aware of their non-observable learning activities. A technical approach and partial implementation is described, how observable data are used to support reflection and awareness about non-observable learning activities. Basis for the technical solution is the extraction of key actions from log data of the interaction of users with resources. Furthermore, a taxonomy of learning activities derived from self-regulated learning theory is used for matching its elements with actually performed actions.