The algorithm for knowledge assessment based on the Rusch model

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Date
2022
Authors
Kostikov, Alexander
Vlasenko, Kateryna
Lovianova, Iryna
Volkov, Sergii
Avramov, Evgeny
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Abstract
In this paper the algorithm for adaptive testing of students’ knowledge in distance learning and an assessment of its effectiveness in the educational process has been proposed. The paper provides an overview of the results of the application of modern test theory, a description and block diagram of the proposed algorithm and the results of its application in the real educational process. The effectiveness of using this algorithm for the objective assessment of students’ knowledge has been experimentally shown.
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Keywords
adaptive algorithm, Rasch model, Item Response Theory (IRT), information function of test item, latent variables, conference materials
Citation
The algorithm for knowledge assessment based on the Rusch model / Kostikov A. A., Vlasenko K. V., Lovianova I. V., Volkov S. V., Avramov E. O. // CEUR Workshop Proceedings : 9th Illia O. Teplytskyi Workshop on Computer Simulation in Education, Kherson, 1 October 2021. - 2022. - Vol. 3083. - P. 28-42.