计算机化自适应测验
响应时间
计算机科学
项目反应理论
选择(遗传算法)
统计
机器学习
数学
心理测量学
计算机图形学(图像)
作者
Yinhong He,Yuanyuan Qi
摘要
Abstract In multidimensional computerized adaptive testing (MCAT), item selection strategies are generally constructed based on responses, and they do not consider the response times required by items. This study constructed two new criteria (referred to as DT‐inc and DT) for MCAT item selection by utilizing information from response times. The new designs maximize the amount of information per unit time. Furthermore, these two new designs were extended to the DT S ‐inc and DT S designs to efficiently estimate intentional abilities. Moreover, the EAP method for ability estimation was also equipped with response time. The performances of the response‐time‐based EAP (RT‐based EAP) and the new designs were evaluated in simulation and empirical studies. The results showed that the RT‐based EAP significantly improved the ability estimation precision compared with the EAP without using response time, and the new designs dramatically saved testing times for examinees with a small sacrifice of ability estimation precision and item pool usage.
科研通智能强力驱动
Strongly Powered by AbleSci AI