@inproceedings{73e2045e4c1945fc93bfda78827bf2de,
title = "A comparison of decision-theoretic, fixed-policy and random tutorial action selection",
abstract = "DT Tutor (DT), an ITS that uses decision theory to select tutorial actions, was compared with both a Fixed-Policy Tutor (FT) and a Random Tutor (RT). The tutors were identical except for the method they used to select tutorial actions: FT employed a common fixed policy while RT selected randomly from relevant actions. This was the first comparison of a decision-theoretic tutor with a non-trivial competitor (FT). In a two-phase study, first DT's probabilities were learned from a training set of student interactions with RT. Then a panel of judges rated the actions that RT took along with the actions that DT and FT would have taken in identical situations. DT was rated higher than RT and also higher than FT both overall and for all subsets of scenarios except help requests, for which DT's and FT's ratings were equivalent.",
author = "Murray, {R. Charles} and Kurt VanLehn",
year = "2006",
doi = "10.1007/11774303_12",
language = "English (US)",
isbn = "3540351590",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "114--123",
booktitle = "Intelligent Tutoring Systems - 8th International Conference, ITS 2006, Proceedings",
note = "8th International Conference on Intelligent Tutoring Systems, ITS 2006 ; Conference date: 26-06-2006 Through 30-06-2006",
}