以教育质量为建模对象:为国民经济发展的“黑”、“白”或“灰”盒子

A. Artyukhov, I. Volk, N. Artyukhova, Dastan Ospanov, D. Ospanova, V. Shablystyi, Vita Hordiienko
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引用次数: 1

摘要

这篇文章已被撤回。文章将动态“教育质量”系统描述为一个具有初始数据、系统参数、控制参数、干扰参数和输出参数的建模对象。将动态系统的描述类比应用于无形物体,可以获得关于动态系统的内部和外部影响因素的详细描述,并预测该系统对动力要素变化的反应。在描述教育系统的质量时,应考虑其社会经济影响与以下属性之间的关系:系统的目的性;系统层次结构;系统与外部环境的相互依存关系;自主和开放的程度;系统的可靠性;系统的尺寸。基于对黑盒、灰盒和白盒方法描述的数据,形成了教育系统质量模型间转换的算法。系统的描述是通过从黑盒模型到灰盒模型,再到白盒模型来进行的。每个模型都能自给自足,并能满意地描述一组输入和输出参数。然而,描述过程的决定论程度随着前一个模型到下一个模型的过渡而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality of education as the modeling object: "black", "white" or "gray" box for national economics development
This article has been retracted. Please see: Retraction of published article due to the author’s proposal - 4 June 2023 The article describes the dynamic "quality of education" system as an object of modeling with initial data, system parameters, control parameters, disturbing parameters and output parameters. Drawing analogies in the description of a dynamic system as applied to intangible objects allows obtaining a detailed description of the factors regarding the internal and external influence on a dynamic system and predicting the reaction of this system to a change in the elements of power. When describing the quality of education system, one should consider the relationship between its socio-economic impact and the following properties: purposefulness of the system; system hierarchy; interdependence between the system and the external environment; the level of autonomy and openness; system reliability; dimension of the system. Based on the data on the description of the methods of black, gray and white boxes, an algorithm for the transition between models for the quality of education system was formed. The description of the system is carried out by moving from the black to the gray box model, and then to the white box. Each of the models can be self-sufficient and satisfactorily describe a set of input and output parameters. However, the degree of determinism of the description process increases with the transition from the previous model to the next.
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