One of the methods of controlling test security in adaptive testing is imposing random item‐ineligibility constraints on the selection of the items with probabilities automatically updated to maintain a predetermined upper bound on the exposure rates. Three major improvements of the method are presented. First, a few modifications to improve the initialization of the method and accelerate the impact of its feedback mechanism on the observed item‐exposure rates are introduced. Second, the case of conditional item‐exposure control given the uncertainty of examinee's ability parameter is addressed. Third, although rare for a well‐designed item pool, when applied in combination with the shadow‐test approach to adaptive testing the method may meet occasional infeasibility of the shadow‐test model. A big M method is proposed that resolves the issue. The practical advantages of the improvements are illustrated using simulated adaptive testing from a real‐world item pool under a variety of conditions.

中文翻译：

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在自适应测试中改善项目曝光控制

在自适应测试中，控制测试安全性的一种方法是对项目的选择施加随机项目不合格约束，并自动更新概率以维持暴露率的预定上限。提出了该方法的三个主要改进。首先，介绍了一些改进方法，以改进该方法的初始化并加速其反馈机制对观察到的项目暴露率的影响。其次，考虑了给定应试者能力参数不确定性的条件项目-暴露控制的情况。第三，尽管对于精心设计的项目库来说很少见，但与影子测试方法结合用于自适应测试时，该方法可能会遇到影子测试模型偶尔不可行的情况。大M提出了解决问题的方法。改进的实际优势通过在各种条件下从真实项目库中进行的模拟自适应测试得到了说明。