Empowering researchers to detect interaction patterns in e-collaboration

Authors:
Andreas Harrer;Rakheli Hever;Sabrina Ziebarth
Affiliations:
Universität Duisburg-Essen, Germany;The Hebrew University of Jerusalem, Jerusalem, Israel;Universität Duisburg-Essen, Germany
Venue:
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Year:
2007

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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.