计算机工程 ›› 2013, Vol. 39 ›› Issue (7): 233-236,241.doi: 10.3969/j.issn.1000-3428.2013.07.052

• 人工智能及识别技术 • 上一篇    下一篇

Mashup智能答疑系统的研究与实现

吴彦文,李 诗,田庆恒   

  1. (华中师范大学物理科学与技术学院,武汉 430079)
  • 收稿日期:2012-06-25 出版日期:2013-07-15 发布日期:2013-07-12
  • 作者简介:吴彦文(1971-),女,教授、博士,主研方向:人工智能;李 诗、田庆恒,硕士研究生
  • 基金项目:
    湖北省教育科学“十二五”规划2011年度立项课题基金资助项目(2011B605);华中师范大学实验教学改革与实验建设基金资助项目(W22011-19);华中师范大学2012年度在线网络课堂基金资助项目(CCNU12A058)

Research and Implementation of Mashup Intelligent Question-answering System

WU Yan-wen, LI Shi, TIAN Qing-heng   

  1. (College of Physical Science and Technology, Central China Normal University, Wuhan 430079, China)
  • Received:2012-06-25 Online:2013-07-15 Published:2013-07-12

摘要: 在学生进行自主学习的过程中,答疑解惑通常是支持该学习模式的重要手段。为此,以基于网络的探究性学习模式为背景,应用Mashup技术设计一种智能答疑系统。利用该系统集成广域分布的网络资源,实现部分课后习题与思考题的解答、名词解释等功能。将该系统用于某基础课程的教学中,实践结果表明,该系统不仅可大大减轻教师答疑的工作量,而且能及时满足大学生个性化的学习需求,提高其学习效率。

关键词: 智能答疑系统, 个性化答疑, 匹配算法, 网络学习, 师生交互

Abstract: Question-answering is an important means to supporting students’ self-reliant learning, and it is the focus and heat issue in current academic study. This paper designs an intelligent question-answering system, which integrates wide spread of network resources by using Mashup technology, which can realize the function of answering some exercises answer, term explanation, and so on. The system is applied in teaching of a course, and result proves that it is not only greatly reduces the workload of teachers’ question-answering, but also meets the personalized demand of college students question-answering, thus improving their learning efficiency.

Key words: intelligent question-answering system, personalized question-answering, matching algorithm, Web-based learning, interaction between teacher and student

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