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A Diagnostic Mechanism and Tool for Analyzing Group Collaboration Problems with Online Group Work

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Liu, S. & Joy, M. (2011). A Diagnostic Mechanism and Tool for Analyzing Group Collaboration Problems with Online Group Work. In Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2011 (pp. 2613-2618). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/39124.

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Conference Information

ELEARN

World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2011
Honolulu, Hawaii, USA
October 18, 2011
AACE

More Information on ELEARN

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Authors

Shuangyan Liu, Mike Joy, Department of Computer Science, University of Warwick, United Kingdom

Abstract

Analyzing group collaboration problems for online group work has become a complex task for a teacher who is responsible for checking the progress of the group work that is examined. This is because various methods are desirable for ascertaining the existence of different collaboration problems. Along with the increasing use of online collaboration, there is a growing need to improve the delivery methods and to simplify how teachers monitor collaborative activities. In this paper a novel diagnostic mechanism and tool are presented for supporting the analysis of major types of group collaboration problems. This research has further implications for extending existing collaborative learning environments in order to automatically monitor collaborative processes for online group work.

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