Analyzing and presenting interaction data: a teacher, student and researcher perspective

Students' actions within a CSCL-environment can be recorded and stored as interaction data. This data can be accessed and analyzed automatically. Teachers, students and researchers may benefit from these analyses. It gives teachers and students immediate feedback about performance indicators and it can help researchers to identify meaningful patterns in the interaction data. In the symposium we focus on these three groups of users - the teacher, the student and the researcher - and explore three issues: 1) how can we extract meaningful information from the interaction data, 2) how can this information be used in practice, and 3) how should this information be presented to the user?.