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Mathematical modeling for assessing the impact of global changes in the world on the digital footprint of russian agricultural universities
V. I. Budzko, V. I. Medennikov Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119133, Russian Federation
Abstract:
Issues of determining the effectiveness of training specialists at agricultural Russian universities using mathematical models for assessing their digital traces left on various Internet sites are considered. The increasing importance of these traces at the present stage of development of higher education digitalization has been determined. It is shown that teachers and students will have qualitatively new means for exchanging educational and scientific knowledge and ideas and their effective transfer to the economy will be ensured based on the integration mechanisms of the Internet representation of educational institutions with their competent organization. This will increase the efficiency of using the country's intellectual potential. The impact of the digital footprint on the competitiveness of educational organizations is shown. To calculate ratings based on digital traces, mathematical models that formalize the identified digital footprints were developed and methods were formed on their basis which were used to compare the effectiveness of the use of educational and scientific information resources by universities. The impact of the imposed sanctions against Russia on the digital footprint was assessed by comparing the ratings obtained in 2022 with the ratings calculated in 2016. The dynamics of changes in the volume and quality of resources presented on these sites are given.
Keywords:
agricultural universities, digital footprint, ratings, assessment methodology.
Received: 28.12.2023
Citation:
V. I. Budzko, V. I. Medennikov, “Mathematical modeling for assessing the impact of global changes in the world on the digital footprint of russian agricultural universities”, Sistemy i Sredstva Inform., 34:1 (2024), 111–127
Linking options:
https://www.mathnet.ru/eng/ssi929 https://www.mathnet.ru/eng/ssi/v34/i1/p111
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Abstract page: | 10 | Full-text PDF : | 27 | References: | 2 |
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