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模拟基于计算机的测试中的项目复查行为:探索项目复查作为附带信息的效果

Jiwei Zhang¹, Chun Wang², Jing Lu³

¹Faculty of Education, Northeast Normal University, Changchun, Jilin, China.

Behavior research methods

|August 23, 2023

概括

项目复习行为,一种常见的测试策略,提供了对考生心理的见解,并提高了测试有效性. 分析这些序列可以增强统计推断和指导策略.

科学领域:

教育测量教育的测量
心理测量心理测量心理测量
认知心理学认知心理学

背景情况:

项目复习是一种频繁的测试策略,与减少测试焦虑和增强有效性有关.
复习模式提供了对考生动机,努力和参与的见解,为教育政策提供了信息.
了解项目复习对于教育评估中准确的统计推断至关重要.

研究的目的:

提出一个包含单调性假设的新项目回顾模型.
评估拟议的贝叶斯估计算法,并评估模型的合适性.
为了证明忽视项目的重审对参数估计的影响.

主要方法:

开发一个新的项目复习模型,假设单调性.
三个模拟研究来测试贝叶斯估计算法,参数偏差和模型匹配.
对项目复习序列以及响应和响应时间数据的分析.

主要成果:

提出的贝叶斯估计算法有效地执行.
忽视项目复查序列导致偏差的参数估计.
这种新型模型表现出很好的适应性,并有效地利用了回顾行为.

结论:

项目复查行为为提高参数估计精度提供了有价值的数据.
拟议的模型提供了一个强大的框架,用于分析评估中的项目复习.
这种方法提高了测试结果的有效性和可解释性.

关键词:

项目响应理论.项目重新访问行为.响应时间数据响应时间数据

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