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Cognitive diagnosis models and automated test assembly: an approach incorporating response times
International Journal of Testing Pub Date : 2020-10-26 , DOI: 10.1080/15305058.2020.1828427
Matthew D. Finkelman 1 , Jimmy de la Torre 2 , Jeremy A. Karp 3
Affiliation  

Abstract

Cognitive diagnosis models (CDMs) have been studied as a means of providing detailed diagnostic information about the skills that have been mastered, and the skills that have not, by examinees. Prior research has examined the use of automated test assembly (ATA) alongside CDMs; however, no previous study has investigated how to perform ATA when a CDM is employed and the total amount of time taken by the test must be controlled. The purpose of the current research was to develop an ATA procedure to select tests that are highly informative while simultaneously satisfying constraints on key parameters related to the total-time distribution. In a simulation study, the procedure successfully selected tests that met these dual goals.



中文翻译:

认知诊断模型和自动测试组装:结合响应时间的方法

摘要

认知诊断模型(CDM)已被研究为提供有关被测者已掌握的技能和尚未掌握的技能的详细诊断信息的手段。先前的研究已经检查了将自动化测试组件(ATA)与CDM一起使用的情况。但是,以前的研究都没有研究使用CDM时如何执行ATA,并且必须控制测试所花费的总时间。当前研究的目的是开发一种ATA程序,以选择具有较高信息量的测试,同时满足与总时间分布相关的关键参数的约束。在模拟研究中,该程序成功选择了满足这些双重目标的测试。

更新日期:2020-10-26
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