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Adaptive Instructional Systems for Intelligent Computer-Assisted Instruction

智能计算机辅助教学的自适应教学系统

基本信息

批准号：
01550276
负责人：
WATANABE Shigeyoshi
金额：
$ 1.22万
依托单位：
Gunma University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1989
资助国家：
日本
起止时间：
1989 至 1990
项目状态：
已结题

项目摘要

Techniques and theories derived from Artificial Intelligence (AI) are going to be applied to computer-based educational fields. Intelligent Computer-Assisted Instruction (ICAI) is one of the researches in the fields and the goal of ICAI is to realize the systems that accept students' explanation in their problem-solving process, reason their knowledge state and guide them adaptively. The issue of constructing mental model from knowledge communication between a student and a system must be solved for pursuing the goal. To establish the organization method of such intelligent tutoring systems, we developed the system that is constructed by following modules.(1) Natural Language Interface : Student's explanation for solving problems and their asking for helps are translated to the frame-formed internal representation by the syntactic analysis and the case grammar analysis.(2) Expert knowledge and Inference Mechanism : The student's action is reconstructed to the student model by using the primitive knowledge and the procedural knowledge in the system. During reconstruction, student's misunderstanding and errors are diagnosed and his asking is answered by the direct tutorial strategy.(3) Script-Based Monitor : Problem-solving process is expressed by scripts. Diagnosis and assistance can be attained using proposed monitor.A tutoring system was organized on a workstation and the system evaluation was done by comparing three groups of 60 students. The result shows the efficiency of the system for novice students who can explain their action and unknown knowledge by sentences.

人工智能（AI）衍生的技术和理论将应用于基于计算机的教育领域。智能计算机辅助教学（Intelligent Computer-Assisted Instruction， ICAI）是该领域的研究之一，其目标是实现能够接受学生在问题解决过程中的解释，对学生的知识状态进行推理并自适应引导的系统。为了实现这一目标，必须解决学生与系统之间的知识交流构建心智模型的问题。为了建立这种智能辅导系统的组织方法，我们开发了由以下模块构建的系统。(1)自然语言界面：通过句法分析和格语法分析，将学生解决问题的解释和求助转化为框架化的内部表征。(2)专家知识和推理机制：利用系统中的原始知识和程序知识，将学生的行为重构为学生模型。在重建过程中，对学生的误解和错误进行诊断，并通过直接辅导策略回答学生的提问。(3)基于脚本的监控：用脚本来表达问题解决的过程。使用建议的监测器可以获得诊断和帮助。在一个工作站上组织了一个辅导系统，并通过比较三组60名学生来完成系统评估。实验结果表明，该系统对于初学者来说是有效的，他们可以用句子来解释自己的动作和未知的知识。