TOPICAL ISSUES OF ARTIFICIAL INTELLIGENCE IN THE EDUCATION SYSTEM
DOI:
https://doi.org/10.36773/1818-1112-2024-135-3-126-129Keywords:
artificial intelligence, higher education system, neural networks, self-learning, intelligent technologies in educationAbstract
The active implementation of artificial intelligence technologies in various spheres of global public life contributes to the actualization of questions about the role of the education system in the technical and technological development of the nation. The goal of the higher education system in the modern conditions of a dynamic and high-tech rhythm is the training of qualified specialists, who are capable to implement their professional activities in conditions of working with highly intelligent technologies. To determine what and how to teach future specialists who will be in demand in the sectors of the economy focused on the use of artificial intelligence, it is necessary to understand the essence and functional role of artificial intelligence, as well as to systematize the idea of using artificial intelligence in education.
The study of the historical dialectic of artificial intelligence technologies shows that artificial intelligence has been improving progressively. In the early stages of its development, it depended on the technical and technological level of development of economic systems. Understanding the essence and the term "artificial intelligence" also occurred gradually. Artificial intelligence was often called ordinary information and information management systems. A modern understanding of the essence of artificial intelligence, based on previous and current achievements in computer science, allows us to highlight the main features that characterize artificial intelligence. These are computer networks, artificial neural networks, databases (BIG DATA), the ability of an intelligent system to self-learn. The inevitability of the introduction of artificial intelligence into the national economy and social life of society leads to the natural need to transform the learning process at universities, the essence of which is the introduction of the use of artificial intelligence into the learning process. The higher education system should include educational technologies that provide future specialists with competencies not only within the framework of professional training, but also skills, abilities and the need for continuous self-development, considering the tools of artificial intelligence and trends in the development of the global educational space.
References
Galán-Muros, V. Higher education contribution to national technological development / V. Galán-Muros, A. Blancas, B. L. Liu ; Gruppa podgotovki Vsemirnogo doklada po monitoringu obrazovaniya, Mezhdunarodnyj institut YUNESKO po vysshemu obrazovaniyu v Latinskoj Amerike i Karibskom bassejne // Unesko. – 2023. – DOI: 10.54676/PZAH9105.
Vysshee obrazovanie v Respublike Belarus' // Ministerstvo obrazovaniya Respubliki Belarus'. – URL: https://edu.gov.by/urovni-obrazovaniya/vysshee-obrazovanie/studentam (data obrashcheniya: 08.08.2024).
Selwyn, N. Should robots replace teachers? AI and the future of education. Polity / N. Selwyn. – Cambridge UK : Polity Press, 2019. – 160 p.
Still w (AI) ting for the automation of teaching: An exploration of machine learning in Swedish primary education using Actor‐Network Theory / K. Sperling, L. Stenliden, J. Nissen, F. Heintz // European Journal of Education. – 2022. – Vol. 57 (4). – P. 584–600. – DOI: 10.1111/ejed.12526.
Tuomi, I. The use of artificial intelligence (AI) in education / I. Tuomi // European Parliament, Policy Department for Structural and Cohesion Policies. – 2020. – P. 2–6. – Mode of access: https://bit.ly/3lCMotK (date of access: 19.10.2024).
Molenaar, I. Towards hybrid human-AI educational scenarios / I. Molenaar // European Journal of Education. – 2022. – Vol. 57 (4). – DOI: 10.1111/ejed.12527.
Biesta, G. J. J. Good Education in an age of measurement: Ethics, politics, democracy / Biesta, G. J. J. // Paradigm Publishers. Biesta GJ. Good education in an age of measurement: Ethics, politics, democracy. – Routledge, 2015. – 158 p.
Holmes W., Tuomi I. State of the art and practice in AI in education / W. Holmes, I. Tuomi // European Journal of Education. – 2022. – Vol. 57, Iss. 4. – P. 542–570. – DOI: 10.1111/ejed.12533.
Baker, M. J. The roles of models in artificial intelligence and education research: A prospective view / M. J. Baker // Journal of Artificial Intelligence and Education. – 2000. – Vol. 11(2). – P. 122–143.
Hakimi, L. The ethics of using digital trace data in education: A thematic review of the research landscape / L. Hakimi, R. Eynon, V. A. Murphy // Review of Educational Research. – 2021. – Vol. 91 (5). – P. 671–717. – DOI: 10.3102/00346543211020116.
ZHuravkov, M. A. Tekhnologii iskusstvennogo intellekta i intellektual'nye sistemy komp'yuternogo modelirovaniya i inzhenernyh raschetov. Vvodnyj kurs : ucheb. posobie / M. A. ZHuravkov ; BGU, Mekhanikomatematicheskij fak. – Minsk : BGU, 2024. – 177 s.
Negnevitsky, M. Artificial Intelligence: A Guide to Intelligent Systems / M. Negnevitsky. – 3d edition. – Addison Wesley Publisher, 2011. – 500 p.
Poole, D. Artificial Intelligence: Foundations of Computational Agents 1st Edition / D. Poole, A. Mackworth. – Cambridge University Press, 2010. – 682 p.
Dzhon Makkarti: otkrytiya i nasledie sozdatelya termina «Iskusstvennyj intellekt». – URL: https://habr.com/ru/companies/itglobalcom/articles/741006 (data obrashcheniya: 01.10.2024).
Zakon Respubliki Belarus' ot 10 noyabrya 2008 g. № 455-Z "Ob informacii, informatizacii i zashchite informacii" (Nacional'nyj reestr pravovyh aktov Respubliki Belarus', 2008 g., № 279, 2/1552, stat'ya 1. – URL: https://multilang.pravo.by/ru/term/index/2639?langname=ru&page=1&type=3 (data obrashcheniya: 01.10.2024).
Ostrouh, A. V. Sistemy iskusstvennogo intellekta : monografiya / A. V. Ostrouh, N. E. Surkova // Lan' : elektronno-bibliotechnaya sistema. – 4-e izd., ster. – Sankt-Peterburg : Lan', 2024. – 228 s. – URL: https://e.lanbook.com/book/379988 (data obrashcheniya: 12.10.2024).
CHto predstavlyaet soboj iskusstvennyj intellekt?. – URL: https://www.sap.com/central-asia-caucasus/products/artificial-intelligence/what-is-artificial-intelligence.html (data obrashcheniya: 01.10.2024).
Rassel, Styuart. Artificial Intelligence. A Modern Approach / Stuart J. Russell, Peter Norvig. – Fourth Edition. – Hoboken : Pearson, 2021. – 1069 p. – URL: https://ru.wikipedia.org/wiki/Iskusstvennyjintellekt (data obrashcheniya: 08.08.2024).
Kruglikov, S. Kak v Belarusi razvivayutsya razrabotki iskusstvennogo intellekta i naskol'ko oni vygodny / Sergej Kruglikov. – URL: https://www.sb.by/articles/algoritmy-budushchego.html (data obrashcheniya: 05.08.2024).
Iskusstvennyj intellekt v vysshem obrazovanii. Forum. Pedagogicheskie vyzovy i perspektivy rossijskih universitetov. – URL: https://aiutmn.tilda.ws/forum (data obrashcheniya: 10.08.2024).
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