具有认知诊断功能的计算器化自适应测验的研究与实现

An Exploration and Realization of Computerized Adaptive Testing with Cognitive Diagnosis

构造具有认知诊断功能的计算器化自适应测验（Computerized Adaptive Testing，CAT），关键在于设计不同于传统CAT的选题策略。本文采用先认知诊断后估计能力的方法，在诊断阶段用状态转换图描述特定认知领域中所有知识状态及这些状态之间的联系，以图的深度优先搜索方法为基础设计选题策略；而在能力估计精细化阶段，每个被试所测项目，不仅与其能力估计值相匹配，且只与其所掌握的属性相关。本为采用蒙特卡罗模拟针对三种不同的属性结构进行试验，结果良好。

An increased attention paid to “cognitive bugs behavior，” appear to lead to an increased research interests in diagnostic testing based on Item Response Theory (IRT) that combines cognitive psychology and psychometrics. The study of cognitive diagnosis were applied mainly to Paper-and-Pencil (P&P) testing. Rarely has it been applied to computerized adaptive testing (CAT). To our knowledge， no research on CAT with cognitive diagnosis has been conducted in China. Since CAT is more efficient and ac