基于贝叶斯网络的自适应系统建构

Establishment of self-adaptation system based upon Bayesian network

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。

According to cognitive learning theory, learners model was established by applying Bayesian Networks. A selfadaptive 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.