The combination of a causal and emotional learning mechanism for an improved cognitive tutoring agent

Authors:
Usef Faghihi;Philippe Fournier-Viger;Roger Nkambou;Pierre Poirier
Affiliations:
Department of Computer Science, UQAM, Montréal, Québec, Canada;Department of Computer Science, UQAM, Montréal, Québec, Canada;Department of Computer Science, UQAM, Montréal, Québec, Canada;Cognitive Science Institute, Université du Québec à Montréal, Montréal, Québec, Canada
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Year:
2010

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Abstract

This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning mechanism within CTS that will allow it to first establish, through data mining algorithms, gross user group models. CTS then uses these models to find the cause of mistakes made by users, evaluate their performance, predict their future behavior, and, through a Pedagogical Knowledge mechanism, decide which tutoring intervention fits best.