基于智能技术的远程教育答疑系统研究

网上答疑系统是现代远程教育系统中不可缺少的一部分,然而当前的答疑系统只是根据用户的输入对题库中的问题进行简单的关键词匹配,查询精度和用户界面满足不了用户的需求。针对以上缺点,本文给出一个应用语义网络原理构筑起来的智能答疑系统。文章分析了建立智能答疑系统的必要性,由此提出了一个基于限定领域的智能答疑系统模型及其技术路线,并以两门大学计算机课程作为知识库来源,实现了系统的功能。试验结果表明,本文所提出的方法有效地提高了查询精度,用户界面友好方便。

Research on Intelligence-based Tutoring System

Tutoring system is very important to Web-based education. The current tutoring systems only matches the keywords of the questions in the question-database according to users' inputs, so the query precision and user interface can't meet the user's needs. To solve this problem, this paper presents an agent-based intelligent tutoring system by applying the semantic-net principle. The necessity of establishing an intelligent tutoring system is discussed and the tutoring model and its technical route based on the constrained fields are also given. The functions of this system are realized by using two college computer courses as the source of knowledge base. The experiment results indicate that the method proposed by this paper improves the query precision effectively and the user interface is friendly and convenient.