A framework for ICAI systems based on inductive inference and logic programming
A framework for ICAI systems based on inductive inference and logic programming
复制标题
基于归纳推理和逻辑编程的ICAI系统框架
DOI：
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发表时间：
1986
影响因子：
2.6
通讯作者：
J. Toyoda
中科院分区：
文献类型：
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作者：
Kazuhisa Kawai;R. Mizoguchi;O. Kakusho;J. Toyoda
智能计算机辅助教学(ICAI)系统的主要组成部分是专业知识、学生模型和辅导策略。学生模型管理学生的剂量和不理解的内容，ICAI系统的性能在很大程度上取决于学生模型与人类学生的逼近程度。我们提出了一种新的ICAI系统框架，它使用归纳推理来根据学生的行为来构建学生模型。在该框架中，专家知识和学生模型都被表示为PROLOG程序，这使得能够表达元知识，即如何使用知识的知识。由于学生模型的构建是独立于专业知识执行的，因此该框架是独立于领域的。因此，可以利用该框架构建任何学科领域的ICAI系统。作为实例，介绍了化学反应教学的ICAI系统，并给出了一个实例。作者认为，基于逻辑编程和归纳推理的ICAI系统的新框架可能是未来ICAI系统的一个突破。
The main components of an Intelligent Computer-Assisted Instruction (ICAI) system are the expertise, the student model and tutoring strategies. The student model manages what the student dose and dose not understand, and the performance of an ICAI system depends largely on how well the student model approximates the human student. We propose a new framework for ICAI systems which uses the inductive inference for constructing the student model from the student’s behavior. In the framework, both the expertise and the student model are represented as Prolog programs, which enables to express the meta-knowledge that is the knowledge of how to use the knowledge. Since the construction of the student models is performed independently of the expertise, the framework is domain-independent. Therefore, an ICAI system for any subject area can be built with the framework. As an example, the ICAI system teaching chemical reaction is presented together with a sample performance. The authors believe that the new framework for ICAI systems based on logic programming and inductive inference could be a breakthrough of the future ICAI systems.