A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application

Ann Nicholson; Kaye Stacey; Liz Sonenberg; Tal Boneh; Tim Wilkin; Vicki Steinle

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A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application

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arxiv 1301.2297 v1 pith:RVDPF3LF submitted 2013-01-10 cs.AI

Ann Nicholson , Tal Boneh , Tim Wilkin , Kaye Stacey , Liz Sonenberg , Vicki Steinle This is my paper · ORCID

classification cs.AI

keywords knowledgeelicitationapplicationautomatedcaseconstructiondiscoverymethods

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Most successful Bayesian network (BN) applications to datehave been built through knowledge elicitation from experts.This is difficult and time consuming, which has lead to recentinterest in automated methods for learning BNs from data. We present a case study in the construction of a BN in anintelligent tutoring application, specifically decimal misconceptions. Wedescribe the BN construction using expert elicitation and then investigate how certainexisting automated knowledge discovery methods might support the BN knowledge engineering process.

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