Publikation
Recognizing Creative Thinking in Graphical e-Discussions using Artificial Intelligence Graph-Matching Techniques
R. Wegerif; Bruce McLaren; M. Chamrada; Oliver Scheuer; N. Mansour; Jan Miksatko
In: Proceedings of the 8th International Conference on Computer Supported Collaborative Learning. International Conference on Computer Supported Collaborative Learning (CSCL-09), June 8-13, Rhodes, Greece, CSCL, 6/2009.
Zusammenfassung
Many approaches to analyzing online argumentation focus on explicit
reasoning and overlook the creative emergence of new ideas. The value of a dialogic
analytic framework including creative emergence was tested through applying it to the
coding and analysis of undergraduate synchronous e-discussions using a graphical
interface within the EU funded project ARGUNAUT. Qualitative analysis found that
critical reasoning functioned to "deepen" the graph through unpacking assumptions whilst
creative emergence of new perspectives produced "widening" moves. This distinction
between deepening and widening was successfully used as the basis for an artificial
intelligence (AI) graph-matching algorithm. Given examples of deepening and widening
from real e-discussions, the AI algorithm was able to successfully find other occurrences
of such moves within new e-discussions. This supports our claim to distinguish between
these two aspects of shared thinking and has the potential to provide awareness indicators
as a support for e-moderation.