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Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems

11 years 9 months ago
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a Bayesian Knowledge Base from a corpus of student problem attempt data in order to automatically generate hints for new students. We further show that using problem attempt data from systems used to teach propositional logic we could successfully use the created Bayesian Knowledge Base to solve other problems. Finally, we compare this method to our previous work using Markov Decision Processes to generate hints.
John C. Stamper, Tiffany Barnes, Marvin J. Croy
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where EDM
Authors John C. Stamper, Tiffany Barnes, Marvin J. Croy
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