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. © 2012 Springer-Verlag.
CITATION STYLE
Chiru, C. G., & Trausan-Matu, S. (2012). Identification and classification of the most important moments from students’ collaborative discourses. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7315 LNCS, pp. 330–339). https://doi.org/10.1007/978-3-642-30950-2_43
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