Identification and classification of the most important moments from students' collaborative discourses

Authors:
Costin-Gabriel Chiru;Stefan Trausan-Matu
Affiliations:
Department of Computer Science and Engineering, "Politehnica" University of Bucharest, Bucharest, Romania;Department of Computer Science and Engineering, "Politehnica" University of Bucharest, Bucharest, Romania,Research Institute for Artificial Intelligence of the Romanian Academy, Bucharest, Romania
Venue:
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Year:
2012

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Abstract

In this paper we present a method that combines the cognitive and socio-cultural paradigms for automatically identifying the most important moments (the so-called pivotal moments) from a Computer Supported Collaborative Learning chat. The existing applications do not identify these moments and we propose a flexible visual method for filling this gap. Since these moments may have different roles in a discourse, we also propose a classification of the identified types of important moments from chat conversations.