Modeling the Choice of an Optimal Educational Trajectory in the Conditions of Digital Transformation of the Economy
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Modeling the Choice of an Optimal Educational Trajectory in the Conditions of Digital Transformation of the Economy
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| Автор |
Tarasyeva, T. V.
Agarkov, G. A. Tarasyev, A. A. Koksharov, V. A. |
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| Тематика |
AGENT-BASED MODELING
BEHAVIORAL ECONOMICS DYNAMIC GAMES DYNAMIC MODEL EDUCATIONAL TRAJECTORIES HIGHER EDUCATION REGIONAL LABOR MARKET AUTONOMOUS AGENTS COMMERCE COMPENSATION (PERSONNEL) COMPUTATIONAL METHODS ECONOMIC ANALYSIS EMPLOYMENT PERSONNEL TRAINING SIMULATION PLATFORM TRAJECTORIES AGENT-BASED MODEL BEHAVIORAL ECONOMICS CONDITION DYNAMIC GAME DYNAMICS MODELS ECONOMETRIC MODELLING EDUCATIONAL TRAJECTORY HIGH EDUCATIONS LABOUR MARKET REGIONAL LABOR MARKET STUDENTS |
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| Описание |
The processes of transformation of the modern economy taking place in recent decades encourage researchers to determine the place of higher education in general and of sets of educational programs in particular, in the new conditions of the educational services market. In the context of significant changes in the processes of market structures interaction, employers are forced to impose new requirements on university graduates, whose qualifications should be relevant to the current market. Since the university in this case is an intermediary between enterprises and skilled labor, its goal is to solve the shortage of personnel with a level of training that meets the new objectives of employers in the regional labor market. In these conditions, optimizing recruitment of students for the areas necessary for the market becomes relevant. To solve these problems, the following tools can be used: identifying value orientations and incentives for applicants in the process of choosing bachelor's degree programs, and admission of master's degree applicants who have shown an inclination for professional activity related to their undergraduate degree field. Thus, there is a need to study the applicants' educational trajectories in relation to their economic incentives, such as the amount of expected income after graduation. The method of this study combines an agent-based model with econometric modeling to determine the maximum expected salary after graduation. The first stage of modeling involves the use of an econometric model to adapt students' educational trajectories to their preferences. At the second stage of modeling, an agent-based model is used, which allows determining the behavior of students within the overall sample. To determine the probability of a student changing their educational trajectory, a fuzzy logical model was developed. Copyright © 2022 The Authors.
Russian Science Foundation, RSF, (22-28-01010) The research work of Tarasyev A.A. is supported by a grant from the Russian Science Foundation, scientific research project No. 22-28-01010 “People’s Savings as a Basis for Safe Socio-Economic Development of Russian Regions: Analysis, Forecast and System of Measures for Localization and Neutralization of Threats”. |
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| Дата |
2024-04-22T15:52:53Z
2024-04-22T15:52:53Z 2022 |
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| Тип |
Conference paper
Conference object (info:eu-repo/semantics/conferenceObject) Published version (info:eu-repo/semantics/publishedVersion) |
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| Идентификатор |
Tarasyeva, TV, Agarkov, GA, Tarasyev, AA & Koksharov, VA 2022, 'Modeling the Choice of an Optimal Educational Trajectory in the Conditions of Digital Transformation of the Economy', IFAC-PapersOnLine, Том. 55, № 16, стр. 382-387. https://doi.org/10.1016/j.ifacol.2022.09.054
Tarasyeva, T. V., Agarkov, G. A., Tarasyev, A. A., & Koksharov, V. A. (2022). Modeling the Choice of an Optimal Educational Trajectory in the Conditions of Digital Transformation of the Economy. IFAC-PapersOnLine, 55(16), 382-387. https://doi.org/10.1016/j.ifacol.2022.09.054 2405-8963 Final All Open Access; Bronze Open Access https://doi.org/10.1016/j.ifacol.2022.09.054 https://doi.org/10.1016/j.ifacol.2022.09.054 http://elar.urfu.ru/handle/10995/132365 10.1016/j.ifacol.2022.09.054 85142292217 855235100063 |
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| Язык |
en
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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| Формат |
application/pdf
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| Издатель |
Elsevier B.V.
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| Источник |
IFAC-PapersOnLine
IFAC-PapersOnLine |
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