COMPREHENSIVE SIMULATION MODELING WHEN PLANNING THE WORK OF THE ADMISSION CAMPAIGN OF A RUSSIAN UNIVERSITY

An analysis of the results of admission campaigns in Russian universities in 2023–2024 has shown that the introduction of a new system of priority areas facilitated the education process, though the struggle of universities to successfully attract applicants did not disappear. Regional universities are forced to compete with each other for school graduates and actively promote their educational programs so that consumers choose them over competitors. The relevance of this issue is to evaluate the results of the inter-action between applicants and the university during the admission period. The research conducted at Vladi-vostok State University (VVSU) in the fall of 2024 among first-year students included 2 stages: the identifi-cation of factors determining the applicants’ choice of a university and the development of models for mak-ing management decisions during the admission campaign in the analyzed year. The paper considered simu-lation modeling, which helps find optimal solutions and clearly understand the complex system. Foreign and domestic studies steadily use this type of modeling. Comprehensive simulation modeling combines a dynamic agent model and system dynamics, which allows studying simultaneously the activities of univer-sity admission campaigns in the implementation of educational services and the behavior of applicants when choosing a university in a competitive environment. The scientific hypothesis of the study was the as-sumption that comprehensive simulation modeling will help optimize the work of the admission campaign in the implementation of educational services. The results of the study on the implementation of university educational services in 2024 identified the main factors influencing the choice of a university, its specialties and areas of study and confirmed the hypothesis that the complexity of modeling improves the quality of selecting applicants for full-time higher education at VVSU and optimizes the work of the admission cam-paign. The methodological basis of the study is the theoretical generalization of scientific literature, com-parative analysis and synthesis, as well as modeling.

Authors

Publication Details

Journal
Bulletin of South Ural State University series Economics and management
Published
2025-01-01
DOI
https://doi.org/10.14529/em250114
Primary Topic
Technology and Human Factors in Education and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COMPREHENSIVE SIMULATION MODELING WHEN PLANNING THE WORK OF THE ADMISSION CAMPAIGN OF A RUSSIAN UNIVERSITY

Валентина Владимировна Жохова, Natalia Yurchenko
Bulletin of South Ural State University series Economics and management
Technology and Human Factors in Education and Health
article

COMPREHENSIVE SIMULATION MODELING WHEN PLANNING THE WORK OF THE ADMISSION CAMPAIGN OF A RUSSIAN UNIVERSITY

Валентина Владимировна Жохова, Natalia Yurchenko
article en

Abstract

An analysis of the results of admission campaigns in Russian universities in 2023–2024 has shown that the introduction of a new system of priority areas facilitated the education process, though the struggle of universities to successfully attract applicants did not disappear. Regional universities are forced to compete with each other for school graduates and actively promote their educational programs so that consumers choose them over competitors. The relevance of this issue is to evaluate the results of the inter-action between applicants and the university during the admission period. The research conducted at Vladi-vostok State University (VVSU) in the fall of 2024 among first-year students included 2 stages: the identifi-cation of factors determining the applicants’ choice of a university and the development of models for mak-ing management decisions during the admission campaign in the analyzed year. The paper considered simu-lation modeling, which helps find optimal solutions and clearly understand the complex system. Foreign and domestic studies steadily use this type of modeling. Comprehensive simulation modeling combines a dynamic agent model and system dynamics, which allows studying simultaneously the activities of univer-sity admission campaigns in the implementation of educational services and the behavior of applicants when choosing a university in a competitive environment. The scientific hypothesis of the study was the as-sumption that comprehensive simulation modeling will help optimize the work of the admission campaign in the implementation of educational services. The results of the study on the implementation of university educational services in 2024 identified the main factors influencing the choice of a university, its specialties and areas of study and confirmed the hypothesis that the complexity of modeling improves the quality of selecting applicants for full-time higher education at VVSU and optimizes the work of the admission cam-paign. The methodological basis of the study is the theoretical generalization of scientific literature, com-parative analysis and synthesis, as well as modeling.

Bulletin of South Ural State University series Economics and managementVol. 19(1)
Openalex Percentile: Top 90%
Technology and Human Factors in Education and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

COMPREHENSIVE SIMULATION MODELING WHEN PLANNING THE WORK OF THE ADMISSION CAMPAIGN OF A RUSSIAN UNIVERSITY — Валентина Владимировна Жохова, Natalia Yurchenko · Bulletin of South Ural State University series Economics and management (2025) | TGRS Research Map | TGRS