数字经济时代教育过程灵活适应的模式与途径

T. Azarnova, N. Shishkina, E. Shulgina
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引用次数: 0

摘要

在数字经济不断发展的时代,教育在培养合格的专家方面发挥着至关重要的作用,这些专家具备并展示了动态发展的企业在劳动力市场上所需的数字能力。为了开发优化教育过程管理的机制,提高教育结果与经济需求的一致性,本文提供了数学模型、方法和算法等形式化工具,使您能够对完成教育计划的结果进行普遍的能力评估,并形成课程改革策略,灵活地使其适应当前和未来的经济需求。研究还提出了评估教育结构提供和发展数字经济能力对该地区发展影响的模型。假设区域内不同的教育结构培养的专家具有不同的数字能力发展水平,根据这些能力水平的人员分布影响着区域在数字经济中绩效效率的主要子指标。人们一直在考虑使用神经网络技术来研究这种影响的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Models and Approaches to Flexible Adaptation of Educational Processes in the Era of Digital Economy
In the era of growing digital economy education plays a crucial role in training qualified specialists having and demonstrating digital competencies needed on the labor market for a dynamically developing business. In order to develop mechanisms for optimizing the management of educational processes and improving the compliance of educational results with the needs of the economy this paper offers such formalized tools as mathematical models, methods and algorithms that allow you to obtain generalized competence assessments of the results of completing educational programmes and form strategies for curricula changes that flexibly adapt them to the current and projected requirements of the economy. The research also suggests the models for assessing the impact of providing and developing the digital economy competencies by educational structures on the development of the region. It is assumed that various educational structures in the region train specialists with different levels of digital competence development, and the personnel distribution according to the level of these competencies affects the main sub-indices which are the indicators of the region's performance efficiency in the digital economy. There has been considered the possibility of using neural network technologies to study this impact.
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