Diversification of educational services in the conditions of industry 4.0 on the basis of AI training

Abstract

Purpose The purpose of the paper is to determine the perspectives of diversification of educational services in the conditions of industry 4.0 on the basis of artificial intelligence (AI) training, determine the consequences of this process for academic and teaching staff and to develop recommendations for its practical implementation. Design/methodology/approach The methods of horizontal, trends and regression analysis are used for studying social consequences of digital modernization of the markets of higher education (for academic and teaching staff). The research is performed by the example of modern Russia on the basis of the statistical data of Federal State Statistics Service and the International Telecommunication Union. The timeframe of the research covers academic years 2000/2001-2018/2019. Findings It is determined that digital modernization of the sphere of higher education stimulates the reduction of the universities’ need for academic and teaching staff and growth of their unemployment. However, further digital modernization of economy on the basis of breakthrough technologies of industry 4.0 will lead to creation of a new type of educational services that are provided within entrepreneurship of universities – AI training of business. This will ensure development of university entrepreneurship (and reduction of dependence of universities on state financing), as well as growth of the employment opportunities for experts (academic and teaching staff) in the sphere of AI, which will not depend on the number of students, but will be connected to demand for AI training from digital business. Originality/value The role of AI training in the structure of production business processes of a university in the conditions of industry 4.0 is determined. The necessity for state stimulation of development of digital business in the modern economic systems is substantiated. It is shown that government has to pay close attention to the issues of support in the sphere of AI and mass distribution of their results. Because of this, it will be possible to control social risks in the sphere of higher education.

Artificial intelligence as an enabler for entrepreneurs: a systematic literature review and an agenda for future research

“…Therefore, the digital modernization of the economy, on the basis of new technologies from Industry 4.0, will lead to the creation of a new type of educational service provided through the entrepreneurship of universities: AI training of business. This will guarantee the development of university entrepreneurship as well as the growth of employment opportunities for academic and teaching staff in the sphere of AI, which will not depend on the number of students, but will rather be connected to demand for AI training from digital businesses (Bogoviz et al. , 2019).…”

Education 4.0, Industry 4.0, Lifelong Learning: A Descriptive Literature Review

“…However, most of these articles do not discuss the education 4.0 concept. Other articles on industry 4.0 focused on the technologies of industry 4.0 that can be used in education such as Internet of Things (Kazimirov, 2018;Sim and Choi, 2020;Wanyama, 2017), machine learning (Ciolacu, Tehrani, et al, 2017), intelligent agent (IA) (Bogoviz et al, 2019;Popenici and Kerr, 2017), and augment reality (Andrés et al, 2019;Mourtzis et al, 2019;Schuldt and Friedemann, 2017;Schuster et al, 2016). Furthermore, the contribution of these Industry 4.0 technologies towards education was discussed in some articles (Almeida and Simoes, 2019;Butler-Adam, 2018;Clavert, 2019;Shahroom and Hussin, 2018;Stankovski et al, 2019;Xing and Marwala, 2017).…”

Artificial intelligence techniques in finance and financial markets: A survey of the literature

“…A study in Russia shows that digital modernization reduces the need for academic and teaching staff for traditional subjects but creates opportunities for teaching and training students and business managers to use AI. This development increases the entrepreneurial tendencies of academic institutions and improves their financial resources (Bogoviz, Lobova, Karp, Vologdin, & Alekseev, 2019). A case study focused on the UK finds that AI will not increase labor productivity but will reshape work.…”