摘要
计算机化自适应测验(Computerized Adaptive Testing,CAT)近年来得到迅猛发展,题目增补对CAT的题库建设与维护至关重要。新题标定作为题目增补过程中的技术难点,它的精度直接影响被试能力估计的准确性,目前在线标定技术经常用于标定新题。从在线标定设计和在线标定方法两个方面,对两类CATs(以项目反应理论为基础的传统CAT以及以认知诊断理论为基础的认知诊断CAT(Cognitive Diagnostic CAT,CD-CAT))中的在线标定相关研究进行述评。传统CAT领域有着较丰富的研究,而CD-CAT的在线标定研究则刚刚起步。未来研究应进一步探讨在线标定设计/方法之间的比较与结合,以及CD-CAT和多维CAT的在线标定研究。
Computerized Adaptive Testing (CAT) has developed rapidly in recent years, ann item replenishing is essential for item bank construction and maintenance in CAT. Calibration of new items is a technical challenge in item replenishing, and the precision of which directly impacts the accuracy of the estimation of examinees' abilities. Now the online calibration technique has been commonly used to calibrate the new items. Studies on online calibration for two kinds of CATs (traditional CAT based on item response theory and cognitive diagnostic CAT (CD-CAT) based on cognitive diagnostic theory) are reviewed in the aspects of online calibration design and online calibration method. There have been relatively abundant research results for the traditional CAT, while online calibration studies of CD-CAT have just started. Future studies could further explore the comparison and combination of different online calibration designs/methods, as well as the online calibration for CD-CAT and multidimensional CAT.
出处
《心理科学进展》
CSSCI
CSCD
北大核心
2013年第10期1883-1892,共10页
Advances in Psychological Science
基金
北京师范大学青年教师科学基金项目资助
关键词
在线标定
计算机化自适应测验
题库建设
认知诊断计算机化自适应测验
online calibration
computerized adaptive testing
item bank construction
cognitive diagnostic computerized adaptive testing