@inproceedings{bcc9e431a1e24688a45513cc3dba2d62,
title = "Learning a skill-teaching curriculum with dynamic bayes nets",
abstract = "We propose an intelligent tutoring system that constructs a curriculum of hints and problems in order to teach a student skills with a rich dependency structure. We provide a template for building a multi-layered Dynamic Bayes Net to model this problem and describe how to learn the parameters of the model from data. Planning with the DBN then produces a teaching policy for the given domain. We test this end-to-end curriculum design system in two human-subject studies in the areas of finite field arithmetic and artificial language and show this method performs on par with hand-tuned expert policies.",
author = "Green, {Derek T.} and Walsh, {Thomas J.} and Cohen, {Paul R.} and Chang, {Yu Han}",
year = "2011",
language = "English (US)",
isbn = "9781577355090",
series = "Proceedings of the National Conference on Artificial Intelligence",
pages = "1648--1654",
booktitle = "AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference",
note = "25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11 ; Conference date: 07-08-2011 Through 11-08-2011",
}