33 A NEW APPROACH TO COMPUTERIZED ADAPTIVE TESTING KURAVSKY L.S.*, Moscow State University of Psychology & Education, Moscow, Russia, e-mail: l.s.kuravsky@gmail.com ARTEMENKOV S.L.**, Moscow State University of Psychology & Education, Moscow, Russia, e-mail: slart@inbox.ru YURYEV G.A.***, Moscow State University of Psychology & Education, Moscow, Russia, e-mail: g.a.yuryev@gmail.com GRIGORENKO E.L.****, Lomonosov Moscow State University, Moscow, Russia, Yale Universlty, New-Haven, USA, e-mail: elena.grigorenko@yale.edu 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 perform- ing 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 re- main hidden for the subjects who have access to the items only and do not know all the intrinsic mathemati- cal 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. Keywords: Markov processes, adaptive testing, IRT, computerized adaptive testing. Introduction Testing procedures are increasingly used in many contemporary applications requiring as- sessment of people or machine’s behavior. According to conventional models of testing based on classical test theory for measuring the examinee’s level in a specific skill or ability as precisely Kuravsky L.S., Artemenkov S.L., Yuryev G.A., Grigorenko E.L. A New approach to computerized adaptive testing. Experimental Psychology (Russia), 2017, vol. 10, no. 3 * Kuravsky L.S. Professor, Doctor in Technical Sciences, Dean of the Department of Information Technolo- gies, Moscow State University of Psychology & Education, E-mail: l.s.kuravsky@gmail.com ** Artemenkov S.L. PhD, Professor, Moscow State University of Psychology & Education, E-mail: slart@inbox.ru *** Yuryev G.A. Ph.D. in Physics and Matematics, associate professor, Deputy Dean of the Department of In- formation Technologies, Moscow State University of Psychology & Education, E-mail: g.a.yuryev@gmail.com **** Grigorenko E.L. Professor, Head of Laboratory of Behavoir Genetics, Chair of Psychology of Education and Pedagogics, Lomonosov Moscow State University, Professor, Yale University, Uni- versity of Houston, E-mail: elena.grigorenko@yale.edu For citation: Kuravsky L.S., Artemenkov S.L., Yuryev G.A., Grigorenko E.L. A New approach to computerized adaptive testing. Eksperimental’naya psikhologiya = Experimental psychology (Russia), 2017, vol. 10, no. 3, pp. 33—45. doi:10.17759/exppsy.2017100303