基于贝叶斯网络的学生模型在测试系统的应用研究  

Research on the Application of a Student Model Based on Bayesian Networks in Test Systems

作　　者：周清[1] 林拉[1] 王红[2] 杨红飞[2] 

机构地区：[1]华南师范大学计算机学院,广东广州510631 [2]广东工业大学计算机学院,广东广州510006

出　　处：《计算机工程与科学》2008年第3期21-23,31,共4页Computer Engineering & Science

摘　　要：在网络课程及虚拟课堂中,在线测试是一个重要组成部分。本文对贝叶斯网络及其概率推理进行了简述,提出了基于贝叶斯网络的学生模型,并将其应用于自适应在线测试系统中。该系统不仅能够因人施测,而且具有预测能力,同时还可以排除学生猜对试题答案的非真实能力。Online test is an important part of the network courses and the virtual classroom. Bayesian networks and their probability reasoning are outlined firstly, then a student model based on Bayesian Networks is proposed and applied to the adaptive online test system, which makes the system feature the ability of forecasting and eliminating the random guessing.

关 键 词：贝叶斯网络 学生模型 在线测试系统 

分 类 号：TP391.6[自动化与计算机技术—计算机应用技术]