A case study in knowledge discovery and elicitation in an intelligent tutoring application

Authors:
Ann Nicholson;Tal Boneh;Tim Wilkin;Kaye Stacey;Liz Sonenberg;Vicki Steinle
Affiliations:
School of Computer Sci. and Soft. Eng., Monash University, VIC, Australia;Department of Computer Science, The University of Melbourne, Parkville, VIC, Australia;School of Computer Sci. and Soft. Eng., Monash University, VIC, Australia;Department of Science and Mathematics Education, The University of Melbourne, VIC, Australia;Department of Information Systems, The University of Melbourne, Parkville, VIC, Australia;Department of Science and Mathematics Education, The University of Melbourne, VIC, Australia
Venue:
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Year:
2001

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Abstract

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