基于高阶认知诊断模型的计算机自适应测验双目标选题方法。

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Chongqin Xi, Dongbo Tu, Yan Cai
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引用次数: 0

摘要

为了从使用单一校准过程的单一模型中有效地获取有关考生一般能力和详细认知概况的信息,开发了采用高阶认知诊断模型的高阶认知诊断计算机化自适应测试(CD-CAT)。然而,目前在高阶CD-CAT中使用的项目选择方法仅根据属性概况自适应地选择项目,这可能导致对一般能力的精度较低;因此,本研究针对该CAT系统提出了一种合适的方法。在高阶模型框架下,响应受属性概况的影响,而属性概况受一般能力的支配。我们有理由认为,项目反应受到一般能力和属性概况的综合影响。基于香农熵逻辑和广义确定性“输入、噪声”门(G-DINA)模型判别指数(GDI),综合考虑上述两种方法,提出了两种新的高阶CD-CAT项目选择方法。仿真结果表明,新方法比现有方法更准确地估计了一般能力和认知特征,并在项目池使用方面保持了明显的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-Objective Item Selection Methods in Computerized Adaptive Test Using the Higher-Order Cognitive Diagnostic Models.

To efficiently obtain information about both the general abilities and detailed cognitive profiles of examinees from a single model that uses a single-calibration process, higher-order cognitive diagnostic computerized adaptive testing (CD-CAT) that employ higher-order cognitive diagnostic models have been developed. However, the current item selection methods used in higher-order CD-CAT adaptively select items according to only the attribute profiles, which might lead to low precision regarding general abilities; hence, an appropriate method was proposed for this CAT system in this study. Under the framework of the higher-order models, the responses were affected by attribute profiles, which were governed by general abilities. It is reasonable to hold that the item responses were affected by a combination of general abilities and attribute profiles. Based on the logic of Shannon entropy and the generalized deterministic, inputs, noisy "and" gate (G-DINA) model discrimination index (GDI), two new item selection methods were proposed for higher-order CD-CAT by considering the above combination in this study. The simulation results demonstrated that the new methods achieved more accurate estimations of both general abilities and cognitive profiles than the existing methods and maintained distinct advantages in terms of item pool usage.

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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
期刊介绍: Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.
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