Paper Info
Title
Analysing tabletop based computer supported collaborative learning data through visualization
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.
Year
DOI
Venue
2011
10.1007/978-3-642-25191-7_32
IVIC (1)
Keywords
Field
DocType
digital mysteries,analysing data,collaborative application domain,collaborative application,co-located cscl setting,educational application,digital tabletops,analysing tabletop,new design,face-to-face computer supported collaborative,interaction pattern,visualization
Computer science,Visualization,Collaborative software,Human–computer interaction,Visual informatics,Multimedia,Computer-supported collaborative learning
Conference
Volume
ISSN
Citations 
7066
0302-9743
3
PageRank 
References 
Authors
0.51
10
5
Name
Order
Citations
PageRank
Ammar Al-Qaraghuli151.22
Halimah Badioze Zaman223435.01
Patrick Olivier33049230.82
Ahmed Kharrufa412615.83
Azlina Ahmad52610.42