A cognitive tutoring agent with episodic and causal learning capabilities

  • Authors:
  • Usef Faghihi;Philippe Fournier-Viger;Roger Nkambou

  • Affiliations:
  • Dept. of Computer Sciences, University of Memphis;Dept. of Computer Sciences, National Cheng-Kung University;Dept. of Computer Sciences, Université du Québec à Montréal

  • Venue:
  • AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
  • Year:
  • 2011

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Abstract

To mimic human tutor and provide optimal training, an intelligent tutoring agent should be able to continuously learn from its interactions with learners. Up to now, the learning capabilities of tutoring agents in educational systems have been generally very limited. In this paper, we address this issue with CELTS, a cognitive tutoring agent, whose architecture is inspired by the latest neuroscientific theories and unite several human learning capabilities such as episodic, emotional, procedural and causal learning.