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Overview and Preliminary Results of Using PolyCAFe for Collaboration Analysis and Feedback Generation

2010; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-16020-2_31

1611-3349

Traian Rebedea, Mihai Dascălu, Ştefan Trăuşan-Matu, Dan Banica, Alexandru Gartner, Costin-Gabriel Chiru, Dan Mihailă,

Digital Communication and Language

Although Computer-Supported Collaborative Learning (CSCL) advocates the use of instant messaging and discussion forums for collaboration between learners, there is a scarcity of tools for leveraging the information in this kind of conversations. Thus, these technologies are primarily used for communication and, once the conversation is over, the raw data is rarely manually analyzed by tutors, teachers and other learners. This paper presents a methodology and a system that can be used for providing feedback and support to learners and tutors that are involved in tasks that make use of chats and forums. In order to achieve this objective, PolyCAFe employs Natural Language Processing and Social Network Analysis techniques to discover polyphony and inter-animation in textual collaborations. To evaluate the proposed approach and the designed system a first validation experiment has been performed and the results are discussed and analyzed in the end of the paper.