双自适应在线IRT测试系统及其在高中数学测试中的应用

H. Hirose, Y. Aizawa, Yoshiko Tokusada, Kazuhisa Noguchi
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引用次数: 16

摘要

题目反应理论不仅为我们提供了应试者的能力,也为我们提供了题目的难点。自适应测试使用IRT自动选择最适合考生的项目,导致比传统测试更准确的能力估计和更有效的测试过程。然而,即使考生的特征发生变化,项目参数也保持不变。为了克服这种情况,我们使用了双自适应在线IRT测试系统,其中“双自适应”意味着一个目标是适当的项目选择,另一个目标是项目难度值的调整。将该方法应用于高中数学测试案例,取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dually adaptive online IRT testing system with application to high-school mathematics testing case
The item response theory (IRT) provides us not only the abilities of examinees but also the difficulties of items. Adaptive testing using the IRT selects the most appropriate items to examinees automatically, resulting in more accurate ability estimation and more efficient test procedures than the conventional testing. However, the item parameters remain constants even if the features of the examinees change. To overcome this situation, we use the dually adaptive online IRT testing system, where “dually adaptive” means that one is targeted to the adequate item selection and the other is targeted to the adjustment of the difficulty values for items. We have applied this method to the high-school mathematics testing case, and we have found that the system works well.
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