Information technologies and computer sciences

INFORMATION TECHNOLOGY FOR MULTICRITERION PERIODIC EVALUATION QUALITY OF E-LEARNING MATERIALS

Authors

I. A. Morhun
Vinnytsia National Technical University ROR
M. P. Botsula
Vinnytsia National Technical University ROR

Keywords

multicriteria evaluation of quality, machine learning, clustering, k-means, regression, neural network with back propagation of error

Abstract

There has been developed the automated information technology for periodical evaluation of quality of electronic educational materials (EEM) based on machine learning techniques such as clustering multiple assessments of different groups of respondents defining the cluster of the largest collective interest of respondents and subsequent use of collected data for forecasting EEM evaluation over time.

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How to Cite

[1]
“INFORMATION TECHNOLOGY FOR MULTICRITERION PERIODIC EVALUATION QUALITY OF E-LEARNING MATERIALS”, Вісник ВПІ, no. 2, pp. 77–82, Jun. 2017, Accessed: Oct. 06, 2026. Available: https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/2035

Author Biographies

I. A. Morhun, Vinnytsia National Technical University

Post-Graduate Student of the Chair of Systems Analysis, Computer Monitoring and Engineering Graphics

M. P. Botsula, Vinnytsia National Technical University

Cand. Sc. (Eng.), Assistant Professor, Assistant Professor of the Chair of Systems Analysis, Computer Monitoring and Engineering Graphics

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