基于聚类和案例推理的个性化教学序列生成  

Personal teaching sequence generation based on clustering and case based reasoning

作　　者：朱忠旭[1] 刘竞杰[1] 

机构地区：[1]安徽工贸职业技术学院计算机技术系,安徽淮南232007

出　　处：《河南工程学院学报（自然科学版）》2015年第2期68-72,共5页Journal of Henan University of Engineering：Natural Science Edition

基　　金：安徽省高校省级教学研究项目(2014jyxm584);安徽省高校省级教学团队建设项目(2013jxtd084)

摘　　要：针对智能教学系统中个性化教学序列生成规则难于获取的问题,提出了将案例推理技术应用于教学序列生成,设计了学生案例相似度的计算方法.为了在案例数量增大时获得较好的检索速度和命中率,提出通过关键属性聚类来对案例进行划分并设计了用于聚类的惰性2-中心点算法,最后以实例验证了系统设计的可用性.The article proposed an application of cased based reasoning to overcome the difficulty of attaining the rule of generating the personal teaching sequence in an intelligent tutoring system. A method is designed to calculate the similarity between students. A method is propose to use aggregation algorithm to distinguish cases set based on a key attribute,and an aggregation algorithm named in-ert 2-medoids is designed. At last,the performance of the system using some student cases is verified.

关 键 词：智能教学系统 个性化教学序列 案例推理 惰性2-中心点算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]