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基于抽样原理的计算机化自适应测验选题策略
引用本文:章沪超,丁树良,戴 勰,关潮辉. 基于抽样原理的计算机化自适应测验选题策略[J]. 江西师范大学学报(自然科学版), 2014, 0(2): 119-123
作者姓名:章沪超  丁树良  戴 勰  关潮辉
作者单位:江西师范大学计算机信息工程学院,江西南昌,330022
基金项目:国家自然科学基金(30860084,31160203,31100756,31360237,31300876);国家社会科学基金(12BYY055,13BYY087);江西省教育厅科技计划(GJJ3207,GJJ13226,GJJ13227,GJJ13208,GJJ13209)资助项目
摘    要:沿用曝光控制因子的同时,基于抽样原理,引入区分度分布因子,按区分度的分布情况来选取测验中的项目.以lna~N(0,1)为例,Monte Carlo模拟结果表明:该方法在估计精度、效率和安全性等指标上表现得比较优异.

关 键 词:抽样原理  计算机化自适应测验  分布因子

The New Item Selection Strategy for Computerized Adaptive Testing Based on Sampling Principle
ZHANG Hu-chao,DING Shu-liang,DAI Xie,GUAN Chao-hui. The New Item Selection Strategy for Computerized Adaptive Testing Based on Sampling Principle[J]. Journal of Jiangxi Normal University (Natural Sciences Edition), 2014, 0(2): 119-123
Authors:ZHANG Hu-chao  DING Shu-liang  DAI Xie  GUAN Chao-hui
Abstract:The exposure-control factors has been followed,at the same time,a discrimination-distribution factor has been introduced.According to the distribution of discrimination,the new item selectisn srategy to balance item usage exposure rate has been proposed.Suppose that ln1)and according to Monte Carlo simulation,the results show that the new approach has more preferably performance comparing with other approaches on several assessment indexes.
Keywords:sampling principle  computerized adaptive testing  distribution factor
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