A computational model for intelligent tutoring systems that teach part writing skills

Phon-Amnuaisuk,, Somnuk and Tham, Ooi Wai (2004) A computational model for intelligent tutoring systems that teach part writing skills. In: Proceedings of the 8th International Conference on Music Perception & Cognition. ICMPC, pp. 548-552. ISBN 1-876346-50-7

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Abstract

Face to face coaching is an important part in music education. Students learn part writing skills via exercises and guidance from human instructors. To delegate the guidance part to a computer is not a trivial job. Human instructors do not respond to the same error in exactly the same way, but with variations in their approaches conditioned by individual students. To model the adaptive behaviour in a program is a great challenge for AI-education researchers. This paper investigates a computational model of a tutoring system which performs the role of a human tutor for a part writing task. We argue that the interaction between students and computers at a note filling level is at the appropriate grain size for this part writing task. To achieve this goal, the computational model must be constructed to facilitate the interaction at this grain size. We describe our knowledge representation language, our system architecture and its functions in section 3. In section 4, we discuss our views and related works

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 13 Dec 2013 03:30
Last Modified: 13 Dec 2013 03:30
URI: http://shdl.mmu.edu.my/id/eprint/4581

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