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基于贝叶斯网络的自适应系统建构
引用本文:肖建琼,冯庆煜.基于贝叶斯网络的自适应系统建构[J].计算机应用,2008,28(5):1347-1349.
作者姓名:肖建琼  冯庆煜
作者单位:西华师范大学,实验中心,四川,南充,637002
摘    要:以认知学习理论为依据,运用贝叶斯网络建立学习者模型,提出了一种学习内容自适应呈现算法。学习内容的呈现适合学习者认知发展水平及个性特征,实现了一种智能化、个性化网络学习的自适应系统,为学习者提供一种更优化的学习途径。

关 键 词:认知学习理论  学生模型  贝叶斯网络  自适应系统
文章编号:1001-9081(2008)05-1347-03
收稿时间:2007-11-17
修稿时间:2007年11月17

Establishment of self-adaptation system based upon Bayesian network
XIAO Jian-qiong,FENG Qing-yu.Establishment of self-adaptation system based upon Bayesian network[J].journal of Computer Applications,2008,28(5):1347-1349.
Authors:XIAO Jian-qiong  FENG Qing-yu
Affiliation:XIAO Jian-qiong,FENG Qing-yu(Experiment Center,China West Normal University,Nanchong Sichuan 637002,China)
Abstract:According to cognitive learning theory, learners model was established by applying Bayesian Networks.A self-adaptive algorithm was introduced, which enabled the presentation of the learning contents to fit the cognitive level and individual characteristics of the learners, and thereby realized an intellectual and individualized self-adaptive system and an advanced approach for network learning.
Keywords:cognitive learning theory  student model  Bayesian network  self-adaptive system
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