Consumer journey of higher education services: legitimisation of artificial intelligence for training marketers
https://doi.org/10.26425/1816-4277-2025-5-28-37
Abstract
The work is devoted to the search for solutions for the introduction of artificial intelligence (hereinafter referred to as AI) into educational process for professional training of marketers. The paper analyses the prospects of using the AI from the point of view of students to fulfill the curriculum as a whole and specific work compositions. The analysis of the path of the consumer of the educational service, the student, is presented. The nodal points of practical actions of learners are determined, in which the AI use is natural and justified. The examples show for which independent works it is possible to give recommendations to students for the AI use. The results of a survey of students of the State University of Management from bachelor’s programmes in marketing disciplines are presented. The results convincingly show that the level of penetration of the AI among these learners is of 95%. The survey has shown for what purposes students usually apply this technology of information procession. A rating of the demand for neural networks used by students when performing independent types of work is compiled. The authors of this research try to find a compromise between the need for learners to complete work and assignments independently, on the one hand, and the search for options for using modern AI technologies in the educational process of higher education, on the other hand.
About the Authors
B. E. TokarevRussian Federation
Boris E. Tokarev - Dr. Sci. (Econ.), Prof. at the Marketing Department
B. A. Rossikhin
Russian Federation
Boris A. Rossikhin - Senior Lecturer at the Marketing Department
References
1. Tokarev B.E. Analysis of prospects for the use of artificial intelligence technologies for the training of marketers. Journal of Marketing in Russia and Abroad. 2024;3(161):95–103. (In Russian).
2. Shugal N.B., Varlamova T.A. Training of highly qualified personnel in the field of artificial intelligence. Moscow: Institute for Statistical Studies and Economics of Knowledge of the Higher School of Economics; 2024. 60 p. (In Russian).
3. Endovitskiy D.A., Gaidar K.M. University science and education in the context of artificial intelligence. Higher Education in Russia. 2021;6(30):121–131. (In Russian). http://doi.org/10.31992/0869-3617-2021-30-6-121-131
4. Shubaeva V.G., Naumov V.N., Susheva N.V. Methodological basis for forming an artificial intelligence marketing ecosystem in higher educational institutions. Proceedings of Saint Petersburg State University of Economics. 2023;6–1(144):130–137. (In Russian).
5. Toktarova V.I., Popova O.G., Sagdullina I.I., Belyanin V.A. Artificial intelligence technologies in the modern higher education. Vestnik of the Mari State University. 2023;2(7):210–220. (In Russian). http://doi.org/10.30914/2072-6783-2023-17-2-210-220
6. Zemke R., Bell Ch.R. Service wisdom. Creating and maintaining the customer service edge. Lakewood: Lakewood Books; 1989. 344 p.
7. Taulli Th. Artificial intelligence basics. A non-technical introduction. Trans. from Eng. V.A. Logunov. St. Petersburg: BHV; 2021. 288 p. (In Russian).
8. Davenport Th. The AI advantage. How to put the artificial intelligence revolution to work. Trans. from Eng. Moscow: Alpina Publisher; 2021. 316 p. (In Russian).
9. Rozhdestvenskaya E.A. Education as a system: the content of foresight methodology. Siberian Journal of Philosophy. 2022;2(20):68–78. (In Russian). https://doi.org/10.25205/2541-7517-2022-20-2-68-78
Review
For citations:
Tokarev B.E., Rossikhin B.A. Consumer journey of higher education services: legitimisation of artificial intelligence for training marketers. Vestnik Universiteta. 2025;(5):28-37. (In Russ.) https://doi.org/10.26425/1816-4277-2025-5-28-37