The GET-BITS Model of intelligent tutoring systems

The GET-BITS Model of intelligent tutoring systems
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智能辅导系统的GET-BITS模型

DOI:
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发表时间:
2000
期刊:
The Journal of Interactive Learning Research
影响因子:
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通讯作者:
D. Radovic
D. Radovic
中科院分区:
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文献类型:
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作者:
V. Devedzic;Ljubomir Jerinic;D. Radovic

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本文描述了一个面向对象的智能教学系统模型GET-BITS。本文主要研究GET-BITS模型中知识表示的类层次结构和类的设计。今天使用的智能辅导系统的其他模型,以及相应的知识模型,只是在一定程度上有所不同。然而,所采用的设计方法差异很大,有时甚至仅仅为了系统功能而保持模糊。虽然使用外壳或创作工具来开发智能教学系统带来了更系统的设计,但如果外壳/创作工具不支持特定系统中可能需要的特定知识表示技术或设计策略,则它也可能成为限制因素。GET-BITS模型使得开发更灵活的智能教学系统和相应的软件开发环境成为可能,显著提高了它们的模块化和可重用性。它是基于一些设计模式和类库开发,以支持智能系统的建设。任何ITS设计过程的重要部分,如领域知识,教学知识,学生模型和解释策略都涵盖在GET-BITS模型中。该模型的优点是显示在文件中的几个不同方面的模型的a/明确的讨论,和B/描述的GET-BITS为基础的智能教学系统的形式语言。基于GET-BITS模型的计算机辅助教学和学习过程更接近于基于人类的教学。该模型可以很容易地扩展,以涵盖特定的辅导系统的需求。此外,两个非常重要的问题进行了讨论,从GET-BITS的角度来看:智能教学系统领域的本体问题,并在该领域的软件组件的问题。
The paper describes an object-oriented model of intelligent tutoring systems, called GET-BITS. The paper concentrates on class hierarchies and design of classes for knowledge representation in the GET-BITS model. Other models of intelligent tutoring systems used today, as well as the corresponding knowledge models, differ only to an extent. However, the design methodologies employed vary a lot, and sometimes even remain blurred for the sake of the system functionality alone. Although using a shell or an authoring tool for developing intelligent tutoring systems brings more systematic design, it can also become a limiting factor if the shell/authoring tool doesn't support a certain knowledge representation technique or design strategy that may be needed in a particular system. The GET-BITS model makes possible to develop more flexible intelligent tutoring systems and the corresponding software development environments, significantly increasing their modularity and reusability. It is based on a number of design patterns and class libraries developed in order to support building of intelligent systems. Important parts of any ITS design process, like domain knowledge, pedagogical knowledge, student model, and explanation strategies are all covered in the GET-BITS model. The advantages of the model are shown in the paper by a/ explicit discussion of several different aspects of the model, and b/ description of a GET-BITS-based intelligent tutoring system for teaching formal languages. The processes of computer-based tutoring and learning based on the GET-BITS model are much closer to human-based instruction. The model can be easily extended to cover the needs of specific tutoring systems. In addition, two extremely important issues are discussed from the GET-BITS perspective: the issue of ontologies in the area of intelligent tutoring systems, and the issue of software components in that area.