欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
高效安全的选题策略是计算机化白适应测验追求的目标．最大Fisher信息量选题测验效率高、能力估计准确，但项目调用不均匀，影响考试的安全；而增设影子题库能较好地平衡项日调用的均匀性．根据上述2种选题策略的优缺点，在0-1评分模型下，结合影子题库得到一种新的选题策略，并在按α分层、按最大信息量分层中引入了新的选题方法．计算机模拟实验显示：新的选题方法效果比较理想．
英文摘要：
Computerized Adaptive Testing（CAT） has been in pursuit of the goal is to develop both efficient and safe item selection strategies. It is well known that there is a typical selection strategy called Maximum Fisher Information （MFI）. However, this strategy has its advantages together with its downsides. On the one hand, MFI method can ob- tain high efficiency and accurate estimation of ability;on the other hand, its uneven item selection may lead to the insecurity of examination. Meanwhile, though shadow bank can be a good method of the item called evenly, it may result in the inefficiency of the test. Taking the advantages and disadvantages of the two selection strategies in the 0-1 scored CAT into consideration, a new item selection strategy is proposed in this paper, and pull this new method in α-Stratification（α-STR） and Maximum Information Stratification （MIS）. The computer simulation shows that the new method works ideally.
同期刊论文项目
同项目期刊论文
期刊信息
位置：