A modeling and assessing method based on Bayesian networks

被引：0
|
作者：
Liu, Zhi [1 ]
Jiang, Jie [1 ]
机构：
[1] Zhejiang Univ Technol, Software Coll, Hangzhou 310032, Peoples R China
来源：
COMPUTATIONAL SCIENCE - ICCS 2007, PT 3, PROCEEDINGS | 2007年 / 4489卷
关键词：
modeling; assessing; Bayesian networks;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to give adaptive instruction to the learner, it needs to know what knowledge the learner has and what goals the learner is trying to archive. This paper proposes a method to build a model based on Bayesian networks in order to assess the learner's knowledge level. An overlay student model based on Bayesian networks is presented. This student model built on knowledge relationships with prediction ability is discussed in details. In this model, an assessing method based on Logistic model in IRT with three parameters is provided to evaluate student's performance. A case study in the course of Data Structure is illustrated in this paper.
引用
收藏
页码：595 / +
页数：2
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