Formation of a mathematical model and a method of statistical research of digital transformation of corporate training

Nina Isii; Valentina Britvina; Artyom Gavrilyuk; Vladimir Konyukhov; Аdão Caculo Agostinho

doi:10.1117/12.2681664

27 April 2023 Formation of a mathematical model and a method of statistical research of digital transformation of corporate training

Nina Isii, Valentina Britvina, Artyom Gavrilyuk, Vladimir Konyukhov, Аdão Caculo Agostinho

Author Affiliations +

Proceedings Volume 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023); 126370S (2023) https://doi.org/10.1117/12.2681664
Event: International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 2023, Fergana, Uzbekistan

Abstract

This work is devoted to the formation of a mathematical model and a method for statistical research of the digital transformation of corporate training. The purpose of the work is to compare the results of digitalization of training in the company. Several options for digitalized learning (classical LMS systems, microlearning, simulation and gamified courses) were tested on employees with different levels of knowledge in the field of computer science and information technology. The use of mathematical models in this case makes it possible to increase the level of calculations, and statistical models help to calculate the effectiveness of digitalization in a company when introducing information technologies. Conceptual and mathematical models, methods and technologies for studying digital transformation used in practice make it possible to increase the assimilation of information by employees with the further construction of a statistical model to achieve the set goals and solve the identified tasks. Choosing a specific software package for creating a digital environment it is necessary to use modern digital technologies and software tools in the performance of research work and determine the most effective mathematical model that allows you to identify the features and prospects for the formation and development of human capital. After analyzing the results using Fisher Angular Transform, we found that any of the above information technologies are equally well suited for different audiences with different levels of digital skills, but the option that uses technologies that simulate real conditions turned out to be the most effective of them. To increase the effectiveness of corporate training, it is possible to introduce both individual tools and complexes.

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Nina Isii, Valentina Britvina, Artyom Gavrilyuk, Vladimir Konyukhov, and Аdão Caculo Agostinho "Formation of a mathematical model and a method of statistical research of digital transformation of corporate training", Proc. SPIE 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 126370S (27 April 2023); https://doi.org/10.1117/12.2681664

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KEYWORDS

Education and training

Mathematical modeling

Machine learning

Information technology

Statistical analysis

Virtual reality

Defense and security

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