A Framework for Problem-Solving Knowledge Mining from Users' Actions

Authors:
Roger Nkambou;Engelbert Mephu Nguifo;Olivier Couturier;Philippe Fournier-Viger
Affiliations:
Université du Québec à Montréal (Canada), nkambou.roger@uqam.ca;CRIL-CNRS, IUT de Lens (France), mephu@cril.univ-artois.fr;CRIL-CNRS, IUT de Lens (France), mephu@cril.univ-artois.fr;Université du Québec à Montréal (Canada), nkambou.roger@uqam.ca
Venue:
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Year:
2007

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Abstract

In this paper, we present an approach to capture problem-solving knowledge using a promising technique of data and knowledge discovery based on a combination of sequential pattern mining and association rules discovery.