首页 | 本学科首页   官方微博 | 高级检索  
     检索      

认知诊断计算机化自适应测验按模式分层选题策略
引用本文:卫芳娜,甘登文,丁树良.认知诊断计算机化自适应测验按模式分层选题策略[J].江西师范大学学报(自然科学版),2013,0(5):445-448.
作者姓名:卫芳娜  甘登文  丁树良
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);国家社会科学基金(12BYY055);江西省教育厅科技计划(GJJ13207,GJJ13226,GJJ13227,GJJ13208,GJJ13209)资助项目
摘    要:提出一种题库按属性模式分层,并结合项目曝光度控制的新方法.蒙特卡洛模拟研究显示:该方法在题库使用均匀程度上表现优异,并保有较高测量精度.

关 键 词:计算机化自适应认知诊断测验  题库分层  选题策略  题库安全

p-STR Item Selection Strategy of Computerized Adaptive Testing for Cognitive Diagnosis
WEI Fang-na;GAN Deng-wen;DING Shu-liang.p-STR Item Selection Strategy of Computerized Adaptive Testing for Cognitive Diagnosis[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2013,0(5):445-448.
Authors:WEI Fang-na;GAN Deng-wen;DING Shu-liang
Institution:WEI Fang-na;GAN Deng-wen;DING Shu-liang;College of Computer Information Engineering,Jiangxi Normal University;
Abstract:Partition of an item pool into some sub-pools according to the attribute pattern(briefly,p-STR)in items is made and a new item selection strategy is proposed.The four types of the attribute hierarchies of linear,convergent,divergent and unstructured structure are considered and each type corresponds to an item pool and tests are fixed-length.The results of Monte Carlo simulations indicate that compared to other methods,the new strategy is effective in improvement of the security of item pool,meanwhile with high measurement accuracy.
Keywords:CD_CAT  stratification of item pools  item selection strategy  the security of item pool
本文献已被 CNKI 等数据库收录!
点击此处可从《江西师范大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《江西师范大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号