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Science and education in the form 4.0: public policy and organization based on human and artificial intellectual capital
Journal of Intellectual Capital ( IF 6.371 ) Pub Date : 2020-04-11 , DOI: 10.1108/jic-11-2019-0274
Konstantin V. Vodenko , Svetlana A. Lyausheva

The purpose of the paper is to develop a concept of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.,The methods of regression and correlation analysis are used. The role of human and artificial intellectual capital for provision of effectiveness and competitiveness of the system of science and education is determined, as well as its correspondence to the modern challenges. Analysis of perspectives and limitations of automatization of the system of science and education based on AI is conducted; a model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital is compiled.,It is established that in the system of science and education, the decisive production factor is intellectual capital, but human intellect does not necessarily have to dominate in its structure. AI is one of the most popular technologies of Industry 4.0 in the system of science and education, which has wide perspectives of practical implementation. As experience of the leading world universities, which had the highest level of digitization in 2018, showed, foundation on non-breakthrough digital technologies (computer equipment and Internet) does not allow opening the potential of increase of indicators of effectiveness and competitiveness of the system of science and education and bringing it in correspondence to the modern challenges based on digitization. However, correlation of activity of application of artificial intellectual capital with these indicators is four times higher (0.2), as compared to correlation of these indicators with activity of application of human intellectual capital (0.05). This shows demand for digitization of the system of science and education, but based on breakthrough digital technologies, of which AI should become the key one.,It is substantiated that higher education could be automatized based on AI by 85% and science by 63%. Therefore, on the whole in the system of science and education, the share of AI in the structure of intellectual capital could reach 74% ((85 + 63)/2). It is recommended to use the developed model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.

中文翻译:

4.0形式的科学与教育:基于人力和人工智力资本的公共政策和组织

本文旨在以人力和人工智力资本为基础,以4.0的形式发展科教系统的组织概念。采用回归分析和相关分析的方法。确定了人力和人工智力资本在提供科学和教育系统的有效性和竞争力方面的作用,以及它与现代挑战的对应关系。分析了基于人工智能的科教系统自动化的观点和局限性;建立了一种基于人力和人工智力资本的4.0形式的科学教育体系的组织模型。建立了科学教育体系中决定性的生产要素是智力资本,但是人类的智慧并不一定要在其结构中占主导地位。人工智能是科学和教育系统中工业4.0最受欢迎的技术之一,具有广泛的实际应用前景。正如2018年拥有最高数字化水平的世界一流大学的经验所表明的那样,基于非突破性数字技术(计算机设备和互联网)的基础不允许打开增加系统有效性和竞争力指标的潜力科普教育,并将其与基于数字化的现代挑战相对应。但是,人工智慧资本的应用活动与这些指标的相关性高四倍(0.2),与这些指标与人力智力资本应用活动的相关性相比(0.05)。这表明了对科学和教育系统数字化的需求,但是基于突破性的数字技术,其中AI应该成为关键技术。这证明,基于AI的高等教育可以实现85%的自动化,科学可以实现63%的自动化。 。因此,在整个科学和教育系统中,人工智能在智力资本结构中的份额可以达到74%((85 + 63)/ 2)。建议使用基于人力和人工智力资本的4.0形式的科教系统组织的开发模型。其中,人工智能应该成为关键之一。事实证明,基于人工智能的高等教育可以实现85%的自动化,而科学可以实现63%的自动化。因此,在整个科学和教育系统中,人工智能在智力资本结构中的份额可以达到74%((85 + 63)/ 2)。建议使用基于人力和人工智力资本的4.0形式的科教系统组织的开发模型。其中,人工智能应该成为关键之一。事实证明,基于人工智能的高等教育可以实现85%的自动化,而科学可以实现63%的自动化。因此,在整个科学和教育系统中,人工智能在智力资本结构中的份额可以达到74%((85 + 63)/ 2)。建议使用基于人力和人工智力资本的4.0形式的科教系统组织的开发模型。
更新日期:2020-04-11
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