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Article type:
Original article
Index UDK: 330.131.52
Year, Volume, Number:
2024, Vol. 12, № 1 (45)
Pages: 101-109
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EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: A PHILOSOPHICAL AND ANTHROPOLOGICAL ANALYSIS
Igor G. Gerashchenko
Doctor of Philosophical Sciences, Professor, Professor of the Department of Sociology, General and Legal Psychology, Volgograd Institute of Management, branch of the Russian Presidential Academy of National Economy and Public Administration, 8 Gagarin street, Volgograd, 400066, Russia, gerashchenko.62@bk.ru
Natalia V. Gerashchenko
Candidate of Pedagogical Sciences, Associate Professor, Associate Professor of the Department of Pedagogy, Psychology and Communicative Disciplines, Volgograd State Physical Education Academy, 78 Lenin Ave., Volgograd, 400005, Russia, gerashhigor@rambler.ru
EDN: NXPEPX
DOI: 10.21685/2307-9525-2024-12-1-11
Category: PHILOSOPHICAL ANTHROPOLOGY, PHILOSOPHY OF CULTURE
For citation:
Gerashchenko I.G., Gerashchenko N.V. Effectiveness of Artificial Intelligence in Higher Education: A Philosophical and Anthropological Analysis. Elektronnyy nauchnyy zhurnal "Nauka. Obshchestvo. Gosudarstvo" = Electronic scientific journal "Science. Society. State". 2024;12(1):101–109. (In Russ.). doi:10.21685/2307-9525-2024-12-1-11
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Received: 15.11.2023
Accepted: 28.02.2024
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 Open access
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Abstract
Background. The use of artificial intelligence (AI) in higher education is widely discussed in the scientific community. Given the global nature of this problem, various aspects of its study are emphasized. The problems of the effectiveness of applying AI in education in general and in higher education in particular have not received comprehensive coverage yet. The aim of the article is to find out the positive and negative aspects of using AI in higher education. Materials and methods. The article applies the systematic method of research, when the effectiveness of AI in education is analyzed from the positions of economics, philosophy, pedagogy, and sociology. This method allows considering the problem from different angles and identifying the prospects and dangers of introducing AI in higher education. Results. The idea is substantiated that AI can, if not now, then in the foreseeable future, have much higher efficiency and effectiveness compared to humans not only in the quantitative aspect, but also in the qualitative aspect. Since AI is capable of self-learning and self-development, the limits of its improvement disappear, as it is not constrained by human limits. Artificially created neural networks are in no way inferior, and even superior to the aggregate of brain neurons that emerged by evolutionary means. The danger lies in the fact that the development of artificial intelligence is non-linear, so the prediction of AI activity is associated with a significant degree of uncertainty and cannot be predicted with high probability. If we analyze the activity of artificial intelligence with the help of concepts (time, cost-effectiveness, labor productivity, profitability, payback, etc.), the efficiency and effectiveness of AI turn out to be much higher than human ones. That is, a human in the learning process turns out to be less competitive than AI. Conclusions. The article concludes that artificial intelligence will be extensively used in a variety of fields, including higher education. The consequence of this will be significant transformations in the system of teaching and learning based on the new technological revolution. In such a situation, university employees may face a difficult economic choice, which is related to the decreased efficiency and effectiveness of their intellectual and managerial labor in comparison with AI activity.
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Keywords
artificial intelligence (AI), higher education, economic efficiency, free time, competitiveness, labor productivity, neural networks
References
1. Levin B.A., Piskunov A.A., Polyakov V.Yu., Savin A.V. Artificial Intelligence in Engineering Education. Vysshee obrazovanie v Rossii = Higher Education in Russia. 2022;31(7):79–95. (In Russ.). doi: 10.31992/0869-3617-2022-31-7-79-95
2. Vikhman V.V., Romm M.V. “Digital Twins” in Education: Prospects and Reality. Vysshee obrazovanie v Rossii = Higher Education in Russia. 2021;30(2):22–32. (In Russ.). doi: 10.31992/0869-3617-2021-30-2-22-32
3. Rakitov A.I. Higher Education and Artificial Intelligence: Euphoria and Alarmism. Vysshee obrazovanie v Rossii = Higher Education in Russia. 2018;27(6):41–49. (In Russ.)
4. Korovnikova N.A. Artificial Intelligence in Modern Educational Space: Problems and Prospects. Sotsialnye novatsii i sotsialnye nauki = Social Innovations and Social Sciences. 2021;(2):98–113. (In Russ.). doi: 10.31249/snsn/2021.02.07
5. Tskhadadze N.V. Economic Efficiency of Artificial Intelligence Technologies. Vestnik Mos-kovskogo universiteta MVD Rossii = Bulletin of Moscow University of the Ministry of Internal Affairs of the Russian Federation. 2021;(2):271–274. (In Russ.). doi: 10.24412/2073-0454-2021-2-271-274
6. Shchurina S.V., Danilov A.S. Artificial Intelligence as a Technological Innovation to Accelerate the Development of Economy. Ekonomika. Nalogi. Pravo = Economy. Taxes. Law. 2019;12(3):125–133. (In Russ.). doi: 10.26794/1999-849X-2019-12-3-125-133
7. Bekon F. Sochineniya: v 2 t. T. 2 = Works: In 2 Volumes. Vol. 2. Moscow: Mysl, 1972:582. (In Russ.)
8. Dekart R. Sochineniya: v 2 t. T. 1 = Works: In 2 Volumes. Vol. 1. Moscow: Mysl, 1989:654. (In Russ.)
9. Lametri Zh.O. Sochineniya = Works. Moscow: Mysl, 1983:509. (In Russ.)
10. Leybnits G.V. Sochineniya: v 4 t. T. 2 = Works: In 4 Volumes. Vol. 2. Moscow: Mysl, 1983:686. (In Russ.)
11. Gelvetsiy K.A. Ob ume = About the Mind. Moscow: Azbuka, 2022:576. (In Russ.)
12. Didro D. Sochineniya: v 2 t. T. 2 = Works: In 2 Volumes. Vol. 2. Moscow: Mysl, 1991:604. (In Russ.)
13. Ilenkov E.V. Shkola dolzhna uchit myslit = School Should Teach to Think. Moscow: Moskovskiy psikhologo-sotsialnyy institut; Voronezh: NPO «MODEK», 2002:112. (In Russ.)
14. Borenstein J., Howard A. Emerging challenges in AI and the need for AI ethics education. AI and Ethics. 2021;(1):61–65. doi: 10.1007/s43681-020-00002-7
15. Shugal N.B., Bondarenko N.V., Varlamova T.A., Volkova G., Shkaleva E.V., Shmatko N.A. Tsifrovaya sreda v obrazovatelnykh organizatsiyakh razlichnykh urovney: analiticheskiy doklad = Digital Environment in Educational Organizations of Various Levels: Analytical Report. Moscow: NIU VShE, 2023:164.
(In Russ.). doi: 10.17323/978-5-7598-2745-0
16. Leskina E.I. Artificial Intelligence in the Sphere of Labor. Rossiyskoe pravo: obrazovanie, praktika, nauka = Russian Law: Education, Practice, Science. 2020;(4):111–117. (In Russ.). doi: 10.34076/2410-2709-2020-4-111-117
17. Guan C., Mou J., Jiang Z. Artificial intelligence innovation in education: A Twenty-year data-driven historical analysis. International Journal. 2020;(4):134–147. doi: 10.1016/J.IJIS.2020.09.001
18. Lukichev P.M., Chekmarev O.P. Applying Artificial Intelligence in Higher Education System. Voprosy innovatsionnoy ekonomiki = Issues of Innovative Economy. 2023;13(1):485–501. (In Russ.). doi: 10.18334/vinec.13.1.117223
19. Ponomareva I.S., Ponomarev A.S. Artificial Intelligence as a Tool for the Development of Financial Globalization. Gosudarstvennoe i munitsipalnoe upravlenie. Uchenye zapiski = State and Municipal Administration. Scientific Notes. 2019;(3):158–164. (In Russ.). doi: 10.22394/2079-1690-2019-1-3-158-164
20. Sibel T. Tsifrovaya transformatsiya. Kak vyzhit i preuspet v novuyu epokhu = Digital Transformation. How to Survive and Succeed in a New Era. Moscow: Mann, Ivanov i Ferber, 2021:256. (In Russ.)
21. Gerashchenko I.G., Gerashchenko N.V. Genuine and Imaginary Problems in Education (Social and Cultural Approach). Fundamentalnye i prikladnye issledovaniya kooperativnogo sektora ekonomiki = Fundamental and Applied Studies of the Cooperative Sector in Economy. 2016;(1):123–127. (In Russ.)
22. Kuzminov Ya.I., Yudkevich M.M. Universitety v Rossii: kak eto rabotaet = Universities in Russia: How It Works. Moscow: Izd. dom Vysshey shkoly ekonomiki, 2021:616. (In Russ.)
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