贝叶斯网络在智能CAI中的应用

2011 3rd International Workshop on Intelligent Systems and Applications Pub Date : 2011-05-28 DOI:10.1109/ISA.2011.5873364

Wen-long Ma, Jian-ping Liao, Wen-li Yu

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引用次数: 0

摘要

在智能CAI教学中，学生模型的建立过程中存在着许多不确定因素。本文采用贝叶斯网络来处理这些不确定性。本文着重分析了贝叶斯网络在学生模型中的构建过程，并采用搜索聚类节点的算法对贝叶斯网络进行了优化，提高了智能CAI的适应性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of Bayesian Network in Intelligent CAI

Many uncertainty factors exist in the process of building the student model in Intelligent CAI. This article adopts Bayesian Network to deal with these uncertainties. The paper emphatically analyzes the constructive process of Bayesian network in the student model and optimize the Bayesian Network by applying a algorithm to search cluster nodes, which improves the adaptability of the Intelligent CAI .

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2011 3rd International Workshop on Intelligent Systems and Applications

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