使用响应和响应时间的混合流模型与认知诊断模型框架
Zichu Liu1, Shiyu Wang2, Shumei Zhang1
1School of Statistics, Beijing Normal University, Beijing, People's Republic of China.
Behavior research methods
|February 16, 2024
概括
这项研究引入了一种新的混合流模型,用于检测评估中的随机猜测. 该模型通过计算猜测来提高对学生能力的理解,与以前的方法不同.
科学领域:
- 教育测量和心理测量学
- 认知心理学 认知心理学
背景情况:
- 在低风险评估中,随机猜测是常见的,可能会对结果产生偏见,特别是对于速度-能力关系.
- 像Fluency认知诊断模型这样的现有模型不考虑随机猜测行为.
研究的目的:
- 引入一个混合流模型,考虑随机猜测.
- 通过使用准确性和响应时间来改进隐藏属性配置文件的估计.
- 为了解决当前认知诊断模型的局限性.
主要方法:
- 在各种条件下进行了模拟研究,以测试混合物流动性模型.
- 该模型应用于实际评估数据,以证明其实际实用性.
主要成果:
- 混合流模型有效地检测随机猜测行为.
- 该模型增强了评估中的潜在构造的推断.
- 该模型的实际实用性通过现实世界的数据应用得到证实.
结论:
- 混合流模型提供了一个强大的方法来处理评估中的随机猜测.
- 这个模型提供了对学生能力和潜伏属性的更准确的洞察.
- 这些发现有助于提高教育评估的有效性.
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