Data Mining of Association Rules and the Process of Knowledge Discovery in Databases
Industrial Conference on Data Mining: Advances in Data Mining, Applications in E-Commerce, Medicine, and Knowledge Management
HLDVT '03 Proceedings of the Eighth IEEE International Workshop on High-Level Design Validation and Test Workshop
RuleGrowth: mining sequential rules common to several sequences by pattern-growth
Proceedings of the 2011 ACM Symposium on Applied Computing
Human-like learning in a conscious agent
Journal of Experimental & Theoretical Artificial Intelligence
Prediction mining – an approach to mining association rules for prediction
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
An approach to intelligent training on a robotic simulator using an innovative path-planner
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
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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.