@inproceedings{pub4359,
    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 ediscussions, such as deepening and widening.},
    month = {7},
    year = {2009},
    title = {Are Your Students Working Creatively Together? Automatically Recognizing Creative Turns in Student e-Discussions},
    booktitle = {Proceedings of the 14th International Conference on Artificial Intelligence in Education. International Conference on Artificial Intelligence in Education (AIED-09), July 6-10, Brighton, United Kingdom},
    note = {RB=yes},
    editor = {Vania Dimitrova and Riichiro Mizoguchi and Benedict du Boulay and Art Graesser},
    pages = {317-324},
    publisher = {IOS Press},
    author = {Bruce McLaren and R. Wegerif and Jan Miksatko and Oliver Scheuer and M. Chamrada and N. Mansour},
    url = {http://www.activemath.org/pubs/McLarenEtAl-FindingCreativeReasoning-AIED-2009.pdf http://www.dfki.de/web/kompetenz/ccel/publikationen/renameFileForDownload?filename=McLarenEtAl-FindingCreativeReasoning-AIED-2009.pdf&file_id=uploads_367}
}