Title
Empowering researchers to detect interaction patterns in e-collaboration
Abstract
This paper describes an approach to support practitioners in the analysis of computer-supported learning processes by utilizing logfiles of learners' actions captured by the system. We enable researchers and teachers to identify and search for insightful patterns of the learning process in two ways: on the one hand patterns can be specified explicitly to be searched in logfiles; on the other hand automatic discovery of patterns that match configurable parameters is used to find most typical sequences in the logfiles. Both features have been realized in a stand-alone tool that accepts generic logfiles usable with a potentially wide variety of different learning systems. This is shown in an example of practical use of this tool in a project that supports researchers and moderators of graphical electronic discussions.
Year
Venue
Keywords
2007
AIED
stand-alone tool,hand pattern,generic logfiles usable,empowering researcher,configurable parameter,different learning system,graphical electronic discussion,utilizing logfiles,interaction pattern,insightful pattern,hand automatic discovery,computer-supported learning process,col
Field
DocType
Volume
USable,World Wide Web,Computer science,Human–computer interaction,Artificial intelligence,Machine learning
Conference
158
ISSN
Citations 
PageRank 
0922-6389
6
0.53
References 
Authors
5
3
Name
Order
Citations
PageRank
Andreas Harrer148265.16
Rakheli Hever2705.69
Sabrina Ziebarth35011.93