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计算机工程 ›› 2006, Vol. 32 ›› Issue (23): 196-198. doi: 10.3969/j.issn.1000-3428.2006.23.070

• 人工智能及识别技术 • 上一篇    下一篇

基于关联规则的ICAI系统中矫正学习路径规划

刘 燕1,陆玉昌2   

  1. (1. 赤峰学院计算机科学与技术系,赤峰 024000;2. 清华大学计算机科学与技术系,北京 100084)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-12-05 发布日期:2006-12-05

Plan Path to Rectify Learning in ICAI Based on Association Rule

LIU Yan1, LU Yuchang2   

  1. (1. Department of Computer Science and Technology, Chifeng University, Chifeng 024000;
    2. Department of Computer Science and Technology, Tsinghua University, Beijing100084)
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-12-05 Published:2006-12-05

摘要: 教学系统的学习路径规划是其智能化的重要标志。该文针对学习结果中未达到学习目标要求的缺陷知识点,运用数据挖掘的情况Apriori算法,在大型知识库中发现并运用缺陷知识点之间的相关性,给出了矫正学习路径的智能规划算法,提高ICAI系统的因材施教 能力。

关键词: 关联规则, 知识缺陷, Apriori算法

Abstract: Plan for learning path in ICAI is important symbol of intelligent system. There are much drawdown of knowledge points in learning, which don’t reach purpose for learning effect. Aiming at this, this paper makes use of Apriori algorithm in data mining concept and technique. Association rules are finded and applied for drawdown of knowledge points based on large knowledge base. Intelligent plan algorithm is given for path to rectify learning. This improves ability of ICAI to teach students in accordance with their aptitude.

Key words: Association rule, Drawdown of knowledge, Apriori algorithm