ICAI system has become a major research direction of auxiliary teaching in the word.
ICAI系统已经成为国际上计算机辅助教学研究的主要方向。
As the storage to access knowledge in ICAI, Domain knowledge base is an important part in the ICAI system.
领域知识库作为智能计算机辅助教学系统存储知识的“存储器”，是智能计算机辅助教学系统的重要组成部分。
The article is a study and discussion about the composition and the evaluation method evaluation content of ICAI.
对ICAI系统的构成、评价方法和评价内容作了研究和探讨。
Intelligent Computer-Assisted Instruction (ICAI) is the developing tendency of Computer-Assisted Instruction (CAI).
智能计算机辅助教学(ICAI)是计算机辅助教学(CAI)的发展趋势。
Based on the data structure experiment teaching ICAI system, the design and realization of domain knowledge base is studied.
围绕数据结构实验教学icai系统，研究了领域知识库的设计与实现。
This paper builds a representation model of knowledge based on the discussion of knowledge points and their relationships in ICAI.
本文对ICAI中知识点和知识点关系进行了探讨，并在此基础上建立一个知识表示模型。
According to this fact that large Numbers oi 'fuzzy problems exist in ICAI, the author of this paper 'researches the application of fuzzy theory to ICAI.
作者根据ICAI中存在大量模糊性问题这一事实，对模糊论在ICAI中的应用进行了研究。
One of the key characters of ICAI is it's individual instruction which could select the most suitable teaching content and strategy according to the learner's ability.
ICAI的关键特征之一是适合个别化教学，即能根据学习者的实际需要选择合适的教学内容，采取合适的教学策略实施教学。
Domain knowledge base, the brain to store knowledge in ICAI, is the basis of ICAI system. And its organizing form and storing method play an important role on its intelligence.
领域知识库作为智能计算机辅助教学系统中存储知识的“大脑”，是智能计算机辅助教学系统的基础，它的组织形式和存储方式对整个教学软件的智能性高低起着重要的作用。
Intelligent Computer Assisted Instruction (ICAI) is one of the application modes in CAI. It is based on the artificial intelligence science, cognitive science and thought science.
智能计算机辅助教学(ICAI)系统是以人工智能科学、认知科学和思维科学为理论基础的一种计算机辅助教学的应用模式。
According to the characteristics of the ICAI knowledge, the concept of knowledge structure AND/OR graph is presented by researching the two main relationships among knowledge points.
根据ICAI中知识的特点，通过分析知识点之间的关系，本文提出了知识结构与或图的知识表示框架，并引入知识组件来降低结构的复杂度并对其进行形式化研究。
It presents the key technology of ICAI and realization precept. The reasoning mechanism, machine study etc are emphasized. A new exploration for the research of the theory of ICAI is given.
提出了一种ICAI的新的构造模型，并阐述了ICAI的技术关键与实现方案，重点阐述了推理机制、机器学习等技术在ICAI中的应用，对ICAI理论的研究做了新的探索。
It presents the key technology of ICAI and realization precept. The reasoning mechanism, machine study etc are emphasized. A new exploration for the research of the theory of ICAI is given.
提出了一种ICAI的新的构造模型，并阐述了ICAI的技术关键与实现方案，重点阐述了推理机制、机器学习等技术在ICAI中的应用，对ICAI理论的研究做了新的探索。
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