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Visualisation of Learners' Contributions in Chat Conversations

In this paper is presented a novel dialogistic, socio-cultural perspective and an associated software tool, which provide structured visualisation and analysis means of Computer Supported Collaborative Learning chat conversations. The implemented tools use knowledge-based techniques and are based on Bakhtin's dialogistic paradigm. They visualize the threading of topics and utterances in the conversation and the contributions of the participants in collaborative learning during instant messenger chats. Natural language processing based on the WordNet lexical ontology and semantic distances are used for detecting topics in the chat and their threading. The experiments with the developed application were performed with students at a course on Human-Computer Interaction in Bucharest Politehnica University.