Author page: Gorchakova D.S.

Digital Technology Introduction Analysis into the Educational Process in Russian Universities and Schools during the COVID-19

DOI: 10.33917/mic-6.125.2025.12-20

The article goal is to analyze the digital technology introduction into Russian education, including the distance education transition in Russian universities and schools during the COVID-19. Several scientific analysis methods were used in transformation analysis: method of analysis and synthesis, abstraction, generalization, description, induction, deduction. In the transformation processes during the COVID-19 changes are observed in the perception of students and schoolchildren with the digital technology introduction in the professional educational field from March 2020 up to date. The article reveals the concepts of traditional and innovative education forms. It was found the digital technology introduction didn`t help to minimize the human factor and didn`t ensure the educational stuff into the educational process. The work identified the results of Russian education transformation processes after COVID-19, as well as the transition specifics from education traditional forms to innovative ones, their social consequences, in particular, the distance education introduction impact on psychophysical health.

References:

1. Alekseeva M.I. Traditions and Innovations in Modern University Education. Humanitarian Research. 2017. No. 4. URL: https://human.snauka.ru/2017/04/23493

2. Uvarov A.Yu., Gable E., Dvoretskaya I.V., et al. Challenges and Prospects of Digital Transformation of Education. National Research University Higher School of Economics, Institute of Education. Edited by A.Yu. Uvarov, I.D. Frumin. Moscow: Publishing House of the Higher School of Economics, 2019. 343 p.

3. Grunt E.V., Belyaeva E.A., Lissitsa S. Distance Education in the Context of a Pandemic: New Challenges for Russian Higher Education. Prospects of Science and Education. 2020;5 (47):45–58.

4. Rezer T.M. Transformations of Teaching Activities during the Pandemic. Development Strategies for Social Communities, Institutions, and Territories. Proceedings of the VIII International Scientific and Practical Conference: in two volumes. Vol. 1. Ed. by A.P. Bagirov, Yekaterinburg, 2022. pp. 340–343.

5. Romanova Z.L. Problems and Prospects of Using Online Learning Technologies during the COVID-19 Pandemic. Bulletin of St. Petersburg State Institute of Culture. 2022;1 (50):124–129.

6. Parkhomenko A.N., Ageeva Yu.V., Maloletkova A.A., Shemonaev V.I. Analysis of the Educational Process during the COVID-19 Pandemic in Dental Departments. Modern Problems of Science and Education. 2021. No. 1. URL: https://science-education.ru/article/view?id=30444

7. Lukashin Yu.V., Chernyaeva T.N. Risks of Socialization of Children and Adolescents in Conditions of Forced Self-Isolation (During the Coronavirus Pandemic). Society: Sociology, Psychology, Pedagogy. 2021;9:111–118.

8. Rogacheva P.S., Semergey S.V. Problems of Distance Education During a Pandemic. Bulletin of Maikop State Technological University. 2020;12(4):85–93.

9. Sunnatova R.I. Experience of Distance School Learning: Possible Risks to the Success of Students’ Socialization. Society: Sociology, Psychology, Pedagogy. 2020;77(9):69–75. DOI: https://doi.org/10.24158/spp.2020.9.12

Artificial intelligence and natural intelligence: relationships, opportunities and limitations

DOI: 10.33917/mic-5.118.2024.14-25

Artificial intelligence and natural intelligence are two types of intelligence coexist in the world today. Despite the artificial intelligence is still little studied, it is changing all areas of human activity. It is a universal tool allows people to rethink how we integrate information, analyze data, and use insights to improve decision-making. The study analyzes areas where artificial intelligence and natural intelligence are unique. It also reveals the artificial intelligence positive value for natural intelligence. Artificial intelligence algorithms are not like passive machines capable of mechanical or predetermined responses. It combines information from different sources, instantly analyzes the material and displays information results obtained from the data. Data form can vary and may be as digital information, satellite imagery, visual information, text or unstructured data. Due to massive improvements in storage systems, processing speed, and analytical techniques, artificial intelligence is capable of incredibly complex analysis. The article identifies the main differences and similarities in the artificial and natural intelligence characteristics, as well as the exceptional capabilities of these concepts. Despite the natural intelligence is endowed with a creative component that nothing can supplant so far, artificial intelligence is already changing the world and raising important issues for the social, economic and political spheres. Artificial intelligence acts as an assistant to natural intelligence. Artificial intelligence is not a futuristic concept, but rather something that exists today, being integrated and implemented in various sectors. This includes areas such as finance, national security, healthcare, litigation, transportation, construction, and industry. There are many examples of how AI is already making an impact on the world and significantly expanding human capabilities.

References:

1. Kant I. Critique of Pure Reason / Translated from German by N. Lossky, verified and edited by Ts.G. Arzakanyan and M.I. Itkin, note by Ts.G. Arzakanyan. Moscow: Mysl, 1994. 591 p.

2. Osipov G.S., Velichkovsky B.M. Artificial Intelligence. The Great Russian Encyclopedia 2004–2017. URL: https://old.bigenc.ru/mathematics/text/2022537?ysclid=lxnb09fze448915724

3. Bridges A., Royka A., Wilson T. et al. Bumblebees Socially Learn Behavior Too Complex to Innovate Alone. Nature. URL: https://www.nature.com/articles/s41586-024-07126-4

4. Marx K., Engels F. Works. v. 46, part 2. 652 p.

5. Kozlowski P. Postmodern Culture: Social and Cultural Consequences of Technical Development: Transl. from Germ. 1997. 240 p.

6. Lepskiy V.E. Artificial Intelligence in Subjective Management Paradigms. Philosophical Sciences. 2021;64(1):88–101.

7. Glukhikh V.A., Eliseev S.M., Kirsanova N.P. Artificial Intelligence as a Problem of Modern Sociology. DISCOURSE. 2022;8(1):82–93.

8. Belikova E.K. Popov E.A. Modern problems of the relationship between natural and artificial intelligence in the paradigm of culture. Social problems of society development. Sociology of culture. 2023;11: 9–13.