形成预测克麦罗沃地区大学入学人数的数学模型

IF 2.2 3区工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2022-01-01 DOI:10.18254/s207751800019818-8

T. Bobko

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引用次数: 0

摘要

本文致力于研究区域宏观经济指标对库兹巴斯大学高等教育项目培训申请人数的影响。作者之前进行的研究为开发一个模型提供了基础，该模型可以提前估计地区大学的入学申请人数[4]。[3]的结果可以定量确定克麦罗沃地区高等教育项目学生人数与地区生产总值(gross regional product, GRP)之间的关系，并得出区域宏观经济指标对毕业生教育水平选择的影响结论。在此基础上，对克麦罗沃地区高校未来一段时间的高等教育学生数量进行了预测，相对预测误差为2.45%。

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Formation of a mathematical model for predicting the number of applicants entering universities in the Kemerovo region

The article is devoted to the study of the influence of regional macroeconomic indicators on the number of applicants for training in higher education programs in the universities of Kuzbass. The previous studies carried out by the authors served as the basis for the development of a model that allows obtaining an advanced estimate of the number of applicants for admission to regional universities [4]. The results obtained in [3] made it possible to quantitatively determine the relationship between the number of students in higher education programs and the gross regional product (GRP) of the Kemerovo region, as well as to draw a conclusion about the influence of regional macroeconomic indicators on the choice of education level by graduates. On the basis of the constructed model, the forecast of the number of students in HE programs in the universities of the Kemerovo region for one period ahead was carried out with a relative forecasting error of 2.45%.

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来源期刊

Jasss-The Journal of Artificial Societies and Social Simulation SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

7.40

自引率

9.50%

发文量

审稿时长

21 weeks

期刊介绍： The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.