Keywords: educational effect, assessment criteria, hierarchy, holarchy, ranking model, ranking model configuration, configuration weight


E-learning support system is a mandatory attribute of the modern educational process. What criteria laid down in its development depends largely on the effectiveness of further applications of the entire system. The evaluation of the training effect depends on various factors, each of which is determined by many interrelated criteria. In conditions when there are resource constraints (financial or time), the actual becomes the problem of determining the factors (criteria) that have the most significant impact on the effectiveness of e-learning system. The article offers step-by-step method of constructing a model that allows to represent the original set of criteria of evaluation of the training effect of the use of e-learning system in the form of appropriate level of influence grades. Introduces the concept of configuration vector and weight vector configuration, ranking models and based on them describe the procedure of finding the most substantive relationship between the criteria. Provides formulas to calculate appropriate weighting factors for current connections. An indicator of the importance of communication is the change of vector configuration, ranking models, and quantitative characterization of the dominant relations is defined as the difference between the weight coefficients of the respective vectors of the configuration options ranking of the analyzed models. The obtained results can be applied when developing holarchical models, support systems, e-learning, which allow us to quantitatively justify decisions regarding the choice of appropriate alternatives.


Download data is not yet available.

Author Biography

Vyacheslav Bratkevich, Simon Kuznets Kharkiv National University of Economics

Department of Computer Systems and Technologies


Voitovich, I. K. (2014). Kriterii effektivnosti elektronnogo obucheniia i kachestva elektronnykh obrazovatelnykh programm v vuze. Vestnik TGPU, 4 (145), 152–156.Available at: https://vestnik.tspu.edu.ru/files/vestnik/PDF/articles/voytovich_i._k._152_156_4_145_2014.pdf Last accessed: 12.02.2019

Bubnov, G. G., Pluzhnik, E. V., Soldatkin, V. I. (2015). Kriterii ocenki kachestva v sisteme elektronnogo obucheniia. Cloud of Science, 2 (4). Available at: https://cyberleninka.ru/article/n/kriterii-otsenki-kachestva-v-sisteme-elektronnogo-obucheniya Last accessed: 12.02.2019

European Commission (2013). Work-based learning in Europe – Practices and Policy Pointers. European Comission. Available at: https://www.skillsforemployment.org/KSP/en/Details/?dn=WCMSTEST4_057845

Dave, S. K., Modi, V. K. K., Pithadiya, P. G., Bhavsar, K. M., Shah, J. (2018). SWOT Analysis of Indian Higher and Technical Education Institutes. Global Research and Development Journal for Engineering. Available at: http://www.grdjournals.com/uploads/conference/GRDCF/010/009/GRDCF010009.pdf

Iaskevich, S. V., Makovskaia, E. V. (2013). Obzor metodik ocenki effektivnosti elektronnogo obucheniia. Innovacionnye processy i korporativnoe upravlenie. Minsk, 448. Available at: http://elib.bsu.by/handle/123456789/103122 Last accessed: 12.02.2019

Stulov, A. (2010). Ocenka effektivnosti elektronnogo distancionnogo obucheniia. Spravochnik po upravleniiu personalom. WebSoft. Available at: http://eng.websoft.ru/db/wb/26D3C1E6AD7BC171442579820031F250/doc.html Last accessed: 12.02.2019

Latypova, V. A. (2016). Ocenka effektivnosti processa obucheniia pri nalichii slozhnykh otkrytykh zadach s pomoschiu ekspertnykh metodov. Inzhenernii vestnik Dona, 1. Available at: ivdon.ru/ru/magazine/archive/n1y2016/3540 Last accessed: 12.02.2019

Saati, T. (1993). Priniatie reshenii. Metod analiza ierarkhii. Moscow: Izdatelstvo «Radio i sviaz», 278.

Saati, T. L.; Andreichikov, A. V., Andreichikova, O. N. (Eds.) (2008). Priniatie reshenii pri zavisimostiakh i obratnykh sviaziakh: Analiticheskie seti. Moscow: Izdatelstvo LKI, 360.

Bratkevych, V. V. (2016). Otsenka kachestva system podderzhky E-learning. Systemy obrobky informatsii. Problemy i perspektyvy rozvytku IT-industrii, 4 (141), 219–222.

👁 118
⬇ 60
How to Cite
Bratkevich, V. (2020). E-LEARNING EDUCATION SYSTEMS EFFICIENCY RATING MODEL. ScienceRise, (1), 56-65. https://doi.org/10.21303/sr.v0i1.1157
Lifelong learning and professional development