ReaderBench – Automated Evaluation of Collaboration based on Cohesion and Dialogism Learning

Abstract : As Computer Supported Collaborative Learning (CSCL) gains a broader usage, the need for automated tools capable of supporting tutors in the time-consuming process of analyzing conversations becomes more pressing. Moreover, collaboration, which presumes the intertwining of ideas or points of view among participants, is a central element of dialogue performed in CSCL environments. Therefore, starting from dialogism and a cohesion-based model of discourse, we propose and validate two computational models for assessing collaboration. The first model is based on a cohesion graph and can be perceived as a longitudinal analysis of the ongoing conversation, thus accounting for collaboration from a social knowledge-building perspective. In the second approach, collaboration is regarded from a dialogical perspective as the intertwining or synergy of voices pertaining to different speakers, therefore enabling a transversal analysis of subsequent discussion slices. Abstract As Computer Supported Collaborative Learning (CSCL) gains a broader usage, the need for automated tools capable of supporting tutors in the time-consuming process of analyzing conversations becomes more pressing. Moreover, collaboration, which presumes the intertwining of ideas or points of view among participants, is a central element of dialogue performed in CSCL environments. Therefore, starting from dialogism and a cohesion-based model of discourse, we propose and validate two computational models for assessing collaboration. The first model is based on a cohesion graph and can be perceived as a longitudinal analysis of the ongoing conversation, thus accounting for collaboration from a social knowledge-building perspective. In the second approach, collaboration is regarded from a dialogical perspective as the intertwining or synergy of voices pertaining to different speakers, therefore enabling a transversal analysis of subsequent discussion slices.
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http://hal.univ-grenoble-alpes.fr/hal-01242021
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Mihai Dascalu, Stefan Trausan-Matu, Danielle Mcnamara, Philippe Dessus. ReaderBench – Automated Evaluation of Collaboration based on Cohesion and Dialogism Learning. International Journal of Computer-Supported Collaborative Learning, Springer Verlag, 2015, 10 (4), pp.395-423. ⟨http://link.springer.com/journal/11412⟩. ⟨10.1007/s11412-015-9226-y⟩. ⟨hal-01242021⟩

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