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Digital Economy and Digital Logistics as New Area of Study in Higher Education

机译:数字经济与数字物流作为高等教育研究领域

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Among innovative e-learning approaches in the sphere of digital economy and logistics, there is a special focus on artificial intelligence technologies (AI), which, due to their capacity and efficiency in usage, have a significant potential for the development and to some extent are optimal IT tools. The objective of a study is to define an optimum IT software for the organization of massive open online courses (MOOC) in digital economy and digital logistics in the framework of training economics students. Authors have conducted a survey in terms of In-ternet use for education and self-education. The sampling volume makes up 1 600 respondents in at least 80 regions of the Russian Federation. The respondents are divided into four age groups: 18-24 years old, 25-39 years old, 40-54 years old, 55 years old and older. The study uses data from the survey conducted by KMDA.PRO related to digital transformation of 700 representatives from more than 300 Russian companies out of 15 industries and the results of in-depth in-terviews of four categories of employees: top managers, heads of units, mid-level managers and other employees. The study results testify to the need for trans-forming e-learning approaches, taking into account the new labor market re-quirements for training specialists in digital logistics and gaining respective skills such as an active training, coordination, negotiation skills, teaching others, infor-mation literacy, customer focus, oral communication, ability to solve complex is-sues, operational literacy, time management. The use of the research results in practice is possible in case of the organization of online training courses for eco-nomics students in the framework of the higher educational system.
机译:在数字经济经济和物流领域的创新电子学习方法中,对人工智能技术(AI)特别关注,由于它们的能力和效率,在某种程度上具有显着的发展潜力是最佳的IT工具。一项研究的目的是为培训经济学学生框架中的数字经济和数字物流中的大规模开放的在线课程(MOOC)组织最佳IT软件。作者对教育和自主教育的互补型使用方面进行了调查。抽样量在俄罗斯联邦的至少80个地区占1 600名受访者。受访者分为四年龄组:18-24岁,25-39岁,40-54岁,55岁及以上。该研究使用KMDA.PRO进行的调查数据与来自超过300个行业的300多个俄罗斯公司的700个代表的数字转型以及四类四类员工的深入分校的结果:顶级管理人员单位,中级经理和其他员工。研究结果证明了需要进行跨越电子学习方法,同时考虑到数字物流中的培训专家的新劳动力市场重新询问,并获得各自的技能,如积极的培训,协调,谈判技巧,教学其他人,信息识字,客户焦点,口头沟通,解决复杂的能力 - 起诉,运营素养,时间管理。如果在高等教育系统框架中为生态犹豫学生组织在线培训课程,则可以使用这些研究结果。

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