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.
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Chiru, CG., Trausan-Matu, S. (2012). Identification and Classification of the Most Important Moments from Students’ Collaborative Discourses. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_43
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DOI: https://doi.org/10.1007/978-3-642-30950-2_43
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