Identification and Classification of the Most Important Moments from Students' Collaborative Discourses

Costin-Gabriel Chiru, Stefan Trausan-Matu

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.