[1]詹沛达,王立君,杨卫敏.引入内容平衡的最大信息量组块分层选题策略[J].江西师范大学学报(自然科学版),2013,(01):106-111.
 ZHAN Pei-da,WANG Li-jun,YANG Wei-min.The Maximum Information Stratification Method with Content Balancing in Computerized Adaptive Testing[J].,2013,(01):106-111.
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引入内容平衡的最大信息量组块分层选题策略()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年01期
页码:
106-111
栏目:
出版日期:
2013-01-01

文章信息/Info

Title:
The Maximum Information Stratification Method with Content Balancing in Computerized Adaptive Testing
作者:
詹沛达;王立君;杨卫敏
浙江师范大学教师教育学院心理系,浙江金华,321004
Author(s):
ZHAN Pei-da;WANG Li-jun;YANG Wei-min
关键词:
计算机化自适应测验内容平衡最大信息量组块分层选题策略改良多项式模型
Keywords:
CAT content balancing MIS-B modified multinomial model
分类号:
B841
文献标志码:
A
摘要:
在0-1计分下,为了解决最大信息量组块分层策略(MIS-B)中未考虑内容平衡的问题,通过加入改良多项式模型来平衡内容属性.计算机模拟试验显示:选题策略在保持MIS-B能力估计精准度这一前提下降低了项目重叠率,提高了题库使用均匀性和项目曝光率的均匀性.
Abstract:
In 0-1 scored CAT,a new item selection strategy is proposed to improve the MIS-B method by introducing the Modified Multinomial Model.The results of Monte Carlo simulations show that compared with MIS-B,the approach proposed in this paper can reducing item overexposure rate,balancing item usage within the item bank,and maintaining measurement precision.

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更新日期/Last Update: 1900-01-01