使用认知设计的项目银行进行计算机自适应测试的效率
1Department of Educational Psychology, Faculty of Education, East China Normal University, Shanghai, China.
Frontiers in psychology
|July 11, 2024
概括
计算机自适应测试 (CAT) 项目生成在认知设计系统 (CDS) 中更快. 虽然预测模型稍微降低了效率,但它们尽量减少了CAT的项目预测和校准成本.
科学领域:
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
- 认知科学 认知科学
背景情况:
- 项目银行对于计算机化适应性测试 (CAT) 是至关重要的.
- 传统的项目开发是劳动密集型和昂贵的.
- 认知设计系统 (CDS) 自动生成项目,但使用独特的难度校准.
研究的目的:
- 使用项目难度校准与预测模型来比较CAT的测量效率.
- 评估预测准确性和CAT所需项目的数量之间的权衡.
主要方法:
- 进行了一项模拟研究.
- 将一个预测模型 (线性物流特征模型;LLTM) 与一个基线校准模型 (Rasch) 进行比较.
- 评估的根平均平方误差 (RMSE) 和可比精度所需的额外项目的数量.
主要成果:
- 该LLTM预测模型的RMSE比Rasch模型高.
- 然而,LLTM只需要一些额外的项目来实现可比的RMSE.
- 随着模型的解释率的增加,额外项目的数量减少了.
结论:
- 通过使用预测模型来降低测量效率对于CAT来说是可以接受的.
- 预测模型可以显著减少或消除昂贵的项目预测的需要.
- 使用预测模型的CDS方法为项目银行开发提供了具有成本效益的替代方案.
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