Computerized classification testing (CCT) commonly chooses items maximizing information at the cut score, which yields the most information for decision-making. However, a corollary problem is that all examinees will be given the same set of items, resulting in high test overlap rate and unbalanced item bank usage, which threatens test security. Moreover, another pivotal issue for CCT is time control. Since both the extremely long response time (RT) and large RT variability across examinees intensify time-induced anxiety, it is crucial to reduce the number of examinees exceeding the time limitation and the differences between examinees' test-taking times. To satisfy these practical needs, this paper proposes the novel idea of stage adaptiveness to tailor the item selection process to the decision-making requirement in each step and generate fresh insight into the existing response time selection method. Results indicate that a balanced item usage as well as short and stable test times across examinees can be achieved via the new methods.

中文翻译：

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计算机化分类测验的曝光时间控制选题方法

计算机化分类测试 (CCT) 通常选择在切分下最大化信息的项目，这会产生最多的决策信息。但是，随之而来的一个问题是，所有考生都会得到同一套题，导致考试重叠率高，题库使用不平衡，威胁考试安全。此外，CCT 的另一个关键问题是时间控制。由于考生之间极长的响应时间 (RT) 和较大的 RT 变异性都会加剧时间诱发的焦虑，因此减少超过时间限制的考生数量和考生参加考试时间之间的差异至关重要。为了满足这些实际需求，本文提出了阶段适应性的新思想，以根据每个步骤的决策要求定制项目选择过程，并对现有的响应时间选择方法产生新的见解。结果表明，通过新方法可以实现考生之间平衡的项目使用以及短而稳定的测试时间。