Abstract
MentorChat is a CSCL system that utilizes a conversational pedagogical agent to engage students in fruitful collaboration. This conversational agent attempts to promote students' productive dialogue by providing unsolicited prompts aimed to elicit explicit reasoning. Using MentorChat a teacher is able to design and deploy the phases and the tasks of a collaborative activity along with the support that the agent provides. In this paper, we present (a) the theoretical background MentorChat is based on, (b) the main technical features of the system and (c) some encouraging preliminary results. © 2013 Springer-Verlag.
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CITATION STYLE
Tegos, S., Demetriadis, S., & Karakostas, A. (2013). MentorChat: A teacher-configurable conversational agent that promotes students’ productive talk. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8095 LNCS, pp. 581–584). https://doi.org/10.1007/978-3-642-40814-4_63
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