计算机化自适应测验
项目反应理论
计算机科学
项目库
选择(遗传算法)
特质
计量经济学
机器学习
心理测量学
统计
数学
程序设计语言
作者
Rob R. Meijer,Michael L. Nering
标识
DOI:10.1177/01466219922031310
摘要
Use of computerized adaptive testing (CAT) has increased substantially since it was first formulated in the 1970s. This paper provides an overview of CAT and introduces the contributions to this Special Issue. The elements of CAT discussed here include item selection procedures, estimation of the latent trait, item exposure, measurement precision, and item bank development. Some topics for future research are also presented.
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