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Probabilistic method of filtering artifacts in adaptive testing 1066
Kuravsky L.S.
Doctor of Engineering, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia
ORCID: https://orcid.org/0000-0002-3375-8446
e-mail: l.s.kuravsky@gmail.com Yur'ev G.A.
Post-graduate Student, Faculty of Information Technologies, Department of Applied Informatics, MCUPE , Moscow, Russia
In this article we present a method of filtering the results of adaptive testing, built on the use of structures in the form of Markov models with continuous time. The elimination of artifacts caused by various forms of incorrect direct intervention in the procedure of testing is performed on the basis of comparison of the observed and the predicted results of the answers to the questions using the Kalman filter, adapted for the solution of the considered problem.
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