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基于知识点平衡的分层次自适应题库
引用本文:王一萍,曲伟建.基于知识点平衡的分层次自适应题库[J].兵工自动化,2006,25(11):55-56,68.
作者姓名:王一萍  曲伟建
作者单位:齐齐哈尔大学,计算机系,黑龙江,齐齐哈尔,161000;齐齐哈尔大学,计算机系,黑龙江,齐齐哈尔,161000
摘    要:基于知识点平衡的分层次自适应题库,其组卷算法包括最大信息接近算法、使用参数a分层次算法及参数a分层次并结合参数b分块算法.同时从可靠性、偏差、平均平方误差、暴光率、试题使用率、统计及试卷重复率等方面对组卷性能进行测试.经<自适应题库建设与智能组卷系统>应用表明,该方法明显优于传统组卷算法.

关 键 词:自适应题库  知识点平衡  组卷算法  组卷性能
文章编号:1006-1576(2006)11-0055-02
收稿时间:2006-05-22
修稿时间:2006-05-222006-08-20

Layers Adaptive Generating Test Base Based on Content Balancing
WANG Yi-ping,QU Wei-jian.Layers Adaptive Generating Test Base Based on Content Balancing[J].Ordnance Industry Automation,2006,25(11):55-56,68.
Authors:WANG Yi-ping  QU Wei-jian
Affiliation:Dept. of Computer, Qiqihar University, Qiqihar 161000, China
Abstract:Layers adaptive generating test base based on content balancing, its algorithms of generating test including information close to its largest algorithm, using parameters (a) stratified algorithm, (a) stratified and parameters (a) blocking algorithms. At the same time, the reliability, bias, mean squared error, exposure rate, statistics and test-overlap rate etc. were used to test the performance of generating test. After the "Constructing adaptive item bank and intelligent generating test" applications show the methods were better than the traditional generating test algorithms clearly.
Keywords:Adaptive testing bank  Content balancing  Algorithms of generating test  Performance of generating test
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