Links: what is an intelligent tutoring system?

Reva Freedman, Syed S. Ali, S. McRoy
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引用次数: 75

Abstract

Professor Freedman's research focuses on reactive planning and theories of discourse and dialog processing with the goal of building better intelligent tutoring systems. T he term " intelligent tutoring system " (ITS) refers to any computer program that can be used in learning and that contains intelligence—this breadth has no doubt helped make ITS research the large and varied field that it is. ITS research is an out-growth of the earlier computer-aided instruction (CAI) model, which usually refers to a frame-based system with hard-coded links, that is, hypertext with an instructional purpose. The traditional ITS model has four components: the domain model, the student model, the teaching model, and a learning environment or user interface. ITS projects can vary significantly by the relative level of intelligence of the components. For example, a project focusing on intelligence in the domain model may generate solutions to complex and novel problems so that students can always have new problems on which to practice, but it might only have simple methods for teaching those problems. Or a system might concentrate on multiple or novel ways to teach a particular topic and therefore find a less sophisticated representation of that content sufficient. When multiple components contain intelligence, homogeneous or heterogeneous representations can be used. ITSs can also be classified by their underlying algorithm. One well-known category is the model-tracing tutor, which tracks students' progress and keeps them within a specified tolerance of an acceptable solution path. A theme underlying much of ITS research is domain independence, that is, the degree to which knowledge encoded in the teaching model can be reused in different domains. Although to the external observer domain independence seems like an essential characteristic of intelligence, many experts believe that some of the essential pedagogical knowledge in every domain is fundamentally domain dependent. For example, some analogies used in teaching physics, and even in teaching specific topics in physics, have no equivalents in other domains. Task independence, or the degree to which the knowledge in the system can be used to support a variety of tasks on the part of the student, has not yet been addressed by most systems. Journals The International Journal of Artificial Intelligence in Education (cbl.leeds.ac. uk/ijaied/), the official journal of the International AIED Society, is the preeminent journal in the field; it is published both in print and on the Web. Other journals that publish significant ITS research …
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链接:什么是智能辅导系统?
弗里德曼教授的研究重点是反应计划和话语和对话处理理论,目标是建立更好的智能辅导系统。“智能辅导系统”(ITS)一词指的是任何可以用于学习并包含智能的计算机程序——这种广度无疑有助于使ITS研究成为一个庞大而多样的领域。ITS研究是早期计算机辅助教学(CAI)模式的产物,CAI通常是指基于框架的系统,具有硬编码链接,即具有教学目的的超文本。传统的ITS模型有四个组成部分:领域模型、学生模型、教学模型和学习环境或用户界面。ITS项目可能因组件的相对智能水平而有显著差异。例如,一个专注于领域模型中的智能的项目可能会生成复杂和新颖问题的解决方案,这样学生就可以总是有新的问题来练习,但是它可能只有简单的方法来教授这些问题。或者系统可能专注于多种或新颖的方法来教授特定主题,因此发现该内容的不太复杂的表示就足够了。当多个组件包含智能时,可以使用同构或异构表示。ITSs也可以通过其底层算法进行分类。一个著名的类别是模型跟踪导师,它跟踪学生的进度,并使他们保持在可接受的解决方案路径的指定公差范围内。ITS研究的一个基本主题是领域独立性,也就是说,教学模型中编码的知识可以在不同领域中重用的程度。尽管对外部观察者来说,领域独立性似乎是智力的基本特征,但许多专家认为,每个领域的一些基本教学知识从根本上来说都是领域依赖的。例如,在物理教学中使用的一些类比,甚至在物理的特定主题教学中使用的类比,在其他领域没有对等物。任务独立性,或系统中的知识可以用来支持学生的各种任务的程度,还没有被大多数系统解决。国际人工智能教育期刊(英文版)。uk/ijaied/)是国际AIED学会的官方期刊,是该领域的杰出期刊;它以印刷品和网络形式出版。其他发表重要ITS研究的期刊……
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