计算机化自适应测验
一致性(知识库)
计算机科学
项目反应理论
选择(遗传算法)
考试(生物学)
试验设计
比例(比率)
适应性设计
可靠性工程
机器学习
统计
人工智能
试验方法
心理测量学
数学
工程类
物理
病理
古生物学
临床试验
生物
医学
量子力学
作者
Xiuxiu Tang,Yi Zheng,Tong Wu,Kit‐Tai Hau,Hua‐Hua Chang
摘要
Abstract Multistage adaptive testing (MST) has been recently adopted for international large‐scale assessments such as Programme for International Student Assessment (PISA). MST offers improved measurement efficiency over traditional nonadaptive tests and improved practical convenience over single‐item‐adaptive computerized adaptive testing (CAT). As a third alternative adaptive test design to MST and CAT, Zheng and Chang proposed the “on‐the‐fly multistage adaptive testing” (OMST), which combines the benefits of MST and CAT and offsets their limitations. In this study, we adopted the OMST design while also incorporating response time (RT) in item selection. Via simulations emulating the PISA 2018 reading test, including using the real item attributes and replicating PISA 2018 reading test's MST design, we compared the performance of our OMST designs against the simulated MST design in (1) measurement accuracy of test takers’ ability, (2) test time efficiency and consistency, and (3) expected gains in precision by design. We also investigated the performance of OMST in item bank usage and constraints management. Results show great potential for the proposed RT‐incorporated OMST designs to be used for PISA and potentially other international large‐scale assessments.
科研通智能强力驱动
Strongly Powered by AbleSci AI