@inproceedings{2f16ba27004f49a4a75462d9a1a2cf66,
title = "DT tutor: A decision-theoretic, dynamic approach for optimal selection of tutorial actions",
abstract = "DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor{\textquoteright}s beliefs and objectives. It employs a model of learning to predict the possible outcomes of each action, weighs the utility of each outcome by the tutor{\textquoteright}s belief that it will occur, and selects the action with highest expected utility. For each tutor and student action, an updated student model is added to a dynamic decision network to reflect the changing student state. The tutor considers multiple objectives, including the student{\textquoteright}s problem-related knowledge, focus of attention, independence, and morale, as well as action relevance and dialog coherence. Evaluation in a calculus domain shows that DT Tutor can select rational and interesting tutorial actions for real-world-sized problems in satisfactory response time. The tutor does not yet have a suitable user interface, so it has not been evaluated with human students.",
author = "{Charles Murray}, R. and Kurt VanLehn",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin HeidTelberg 2000.; 5th International Conference on Intelligent Tutoring Systems, ITS 2000 ; Conference date: 19-06-2000 Through 23-06-2000",
year = "2000",
language = "English (US)",
isbn = "3540676554",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "153--162",
editor = "Claude Frasson and Gilles Gauthier and Kurt VanLehn",
booktitle = "Intelligent Tutoring Systems - 5th International Conference, ITS 2000, Proceedings",
}