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e in recognising or reproducing intervals, chords or melodies. MacGAMUT is a classroom simulation program that dictates exercises and provides a detailed marking scheme.

Other programs such as MiBAC Music Lessons, Perceive and Practica Musica offer a comprehensive ear training program including scales, durations, modes and tuning. See Yavlow (1982) for information on the aforementioned programs. Since the domain is relatively clear-cut and non-problematic, ear training and music theory are popular methods in non-AI music education programs. There are many useful musical computer tools applicable to education such as music editors, sequencers, computer-aided composition tools, multimedia reference tools on CD-ROM Masterworks and much more.

3. Intelligent Tutoring Systems for Music: A ‘Classical’ Approach

The history of AI in education can be divided into two periods, the ‘classical’ period (1970 – 1987) and the ‘modern’ period (1987 to present day). In the classical period, the three component ‘traditional’ model of an Intelligent Tutoring System (ITS) was the most common and influential idea. This model was sometimes extended to a four component model. After 1987, ideas had shifted to finding alternative ways around the traditional model. However, this was limited due to research available at those times, and the traditional model remains influential and is still used to the present day.

Each of the three components of the traditional model can be considered a separate ‘expert’ system’. The traditional ITS model (Sleeman and Brow, 1982) consists of three AI components, each an expert in its own area. The first component, the domain model, is an expert in the subject being taught. So in the case of a vocal tutor, the domain expert itself would be able to perform vocal tasks. This requirement is essential if the system is to be able to answer unforeseen questions in relation to the task in hand.

The second component is the student model. Its purpose is to build a model of the student’s knowledge, capabilities and attitudes. This will allow the system to vary its approach in accordance to the individual student. In essence, the student model can be viewed as a checklist of skills. This is sometimes modelled as an overlay i.e. a tick list of the elements held in the domain. Sophisticated models may view it as a deliberately distorted element or a faulty ‘expert’ system. These errors are intended to mirror a student’s misconceptions.

A fair diagnosis of a student’s knowledge, skills, capabilities and beliefs is often a hard problem in AI. One partial way around the diagnosis problem would be to ask the student about their capabilities, beliefs, previous experience and so on. A more stringent approach is to set the student tasks specifically designed to analyse their skills. The results can then be used to construct the student model.

The third component of the traditional ITS model is the teaching model. Typically, this may consist of teaching strategies such as Socratic tutoring, coaching and teaching by analogy (Elsom-Cook, 1990), to simply allowing the student to explore available materials unhindered, with or without the guidance of a human teacher. The fourth component is an interactive user interface for the ta本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。