基于知识点平衡的分层次自适应题库

Layers Adaptive Generating Test Base Based on Content Balancing

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。

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＂ annlications show the methods were better than the traditional generating test algorithms clearly.