Analysing tabletop based computer supported collaborative learning data through visualization

Authors:
Ammar Al-Qaraghuli;Halimah Badioze Zaman;Patrick Olivier;Ahmed Kharrufa;Azlina Ahmad
Affiliations:
Institute of Visual Informatics, National University of Malaysia, Malaysia and School of Computing Science, Newcastle University, UK;Institute of Visual Informatics, National University of Malaysia, Malaysia;School of Computing Science, Newcastle University, UK;School of Computing Science, Newcastle University, UK;Institute of Visual Informatics, National University of Malaysia, Malaysia
Venue:
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part I
Year:
2011

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Abstract

The development of digital tabletops that support user identification has opened the door for investigating users' achievement in groupware based face-to-face Computer Supported Collaborative Learning (CSCL) settings. When students collaborate around the tabletop, teachers need to be aware of the steps undertaken by the students in order to reflect their achievements.We focused on exploring patterns of interaction between students and the objects of an educational application called 'Digital Mysteries', used as a basis for distinguishing the work of higher achieving groups from lower achieving ones. Teachers' analysis of trial videos were informative in analysing data which aimed at automatically generating visualization log based dataset that reflect on students' achievements. Our approach on users' assessment, based on the interaction patterns in co-located CSCL setting, can be generalised to cover other collaborative application domains. The usefulness of such patterns can be applied in new designs of collaborative applications.