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Mathematical Aspects of the Concept of Adaptive Training Device
Author(s) -
L.S. Kuravsky,
A.A. Margolis,
P A Marmalyuk,
A.S. Panfilova,
G.A. Yuryev
Publication year - 2016
Publication title -
psychological science and education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.215
H-Index - 2
eISSN - 2311-7273
pISSN - 1814-2052
DOI - 10.17759/pse.2016210210
Subject(s) - computerized adaptive testing , session (web analytics) , computer science , parametric statistics , training (meteorology) , test (biology) , adaptive learning , artificial intelligence , machine learning , psychology , mathematics , meteorology , clinical psychology , paleontology , statistics , physics , world wide web , biology , psychometrics
The paper presents a concept of an adaptive training system implied for electronic learning that supports the choice of tasks according to parametric models. This approach is an alternative to the adaptive technologies based on item response theory (IRT). The features of the diagnostic methods underlying the choice of tasks presented in tests include, firstly, the account of the dynamics in an individual’s levels of performance and in the time s/he needs to complete the test, and, secondly, the lesser amount of tasks required to be presented in the training session.

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