Paper Info
Title
Are Your Students Working Creatively Together? Automatically Recognizing Creative Turns in Student e-Discussions
Abstract
In this paper, we discuss how Artificial Intelligence (AI) techniques might be brought to bear in automatically recognizing “creative reasoning” in student e-discussions. An AI-based graph-matching algorithm was used to find instances of deepening and widening, interactional categories that provide evidence of, respectively, explicit argumentation and creative reasoning. A deepening occurs when students provide further argumentation for an on-going perspective. A widening occurs, on the other hand, when a student (or students) attempts to diverge from the current perspective by either questioning it or presenting a new perspective or new idea. Given examples of deepening and widening from real e-discussions, the AI algorithm was able to successfully find similar events within new e-discussions and did so within realistic run-time expectations. Our ultimate aim is to provide a software tool for teachers that will support them in recognizing a range of important dialogic aspects of student e-discussions, such as deepening and widening.
Year
DOI
Venue
2009
10.3233/978-1-60750-028-5-317
AIED
Keywords
Field
DocType
real e-discussions,ai-based graph-matching algorithm,on-going perspective,new idea,student e-discussions,ai algorithm,current perspective,new perspective,new e-discussions,creative reasoning,students working creatively,automatically recognizing creative,graph matching,artificial intelligent,collaborative learning
Software tool,Dialogic,Collaborative learning,Argumentation theory,Psychology,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
200
0922-6389
2
PageRank 
References 
Authors
0.37
10
6
Name
Order
Citations
PageRank
Bruce M. Mclaren11110114.30
Rupert Wegerif210515.37
Jan Mikšátko3635.34
Oliver Scheuer423721.82
Marian Chamrada5151.41
Nasser Mansour6151.41