Analyzing and presenting interaction data: a teacher, student, and researcher perspective
Résumé
Students‘ actions within a CSCL environment are recorded and stored as interaction data. The availability of such data offers new opportunities for support: the data can be accessed and analyzed automatically. Teachers, students and researchers may benefit from such an analysis. They have access to information about students‘ performance in the CSCL environment. The support 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 explore three issues with regard to this kind of support: 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? We examine these issues from three perspectives, that of the teacher, the student and the researcher.