文章基本信息

标题：A new approach to computerized adaptive testing
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作者：Kuravsky L. S. ; Artemenkov S.L. ; Yuryev G.A. 等
期刊名称：Experimental Psychology (Russia)
印刷版ISSN：2072-7593
电子版ISSN：2311-7036
出版年度：2017
卷号：10
期号：3
页码：33-45
DOI：10.17759/exppsy.2017100303
出版社：Moscow State University of Psychology and Education
摘要：A new approach to computerized adaptive testing is presented on the basis of discrete-state discrete-time Markov processes. This approach is based on an extension of the G. Rasch model used in the Item Response Theory (IRT) and has decisive advantages over the adaptive IRT testing. This approach has a number of competitive advantages: takes into account all the observed history of performing test items that includes the distribution of successful and unsuccessful item solutions; incorporates time spent on performing test items; forecasts results in the future behavior of the subjects; allows for self-learning and changing subject abilities during a testing procedure; contains easily available model identification procedure based on simply accessible observation data. Markov processes and the adaptive transitions between the items remain hidden for the subjects who have access to the items only and do not know all the intrinsic mathematical details of a testing procedure. The developed model of adaptive testing is easily generalized for the case of polytomous items and multidimensional items and model structures.
关键词：Markov processes; adaptive testing; IRT; computerized adaptive testing