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AIED
2009
Springer

Exploiting Partial Problem Spaces Learned from Users' Interactions to Provide Key Tutoring Services in Procedural and Ill-Define

10 years 18 days ago
Exploiting Partial Problem Spaces Learned from Users' Interactions to Provide Key Tutoring Services in Procedural and Ill-Define
In previous works, we showed how sequential pattern mining can be used to extract a partial problem space from logged user interactions for a procedural and ill-defined domain where classic domain knowledge acquisition approaches dont work well. In this paper, we describe in details how such a problem space can support important tutoring services such as (1) recognizing the plan of a learner, (2) providing hints and (3) estimating the profile of a learner including its expertise level and missing or misunderstandood skills. Keywords. intelligent tutoring systems, domain knowledge mining, tutoring services
Philippe Fournier-Viger, Roger Nkambou, Engelbert
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where AIED
Authors Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo
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