SHEGOLEVA L., AVERYANOV A., GURTOV V. SOURCES OF COMPETENCIES FOR EDUCATIONAL PROGRAMS IN THE FIELD OF ARTIFICIAL INTELLIGENCE. LIFELONG EDUCATION: The 21st Century.
2023. № 2 (42). DOI: 10.15393/j5.art.2023.8466


Issue 2 (42)

Labor Market and Lifelong Learning
pdf-version

SOURCES OF COMPETENCIES FOR EDUCATIONAL PROGRAMS IN THE FIELD OF ARTIFICIAL INTELLIGENCE

SHEGOLEVA Lyudmila V.
Doctor of Technical Sciences, Associate Professor, Professor of Applied Mathematics and Cybernetics Department
Petrozavodsk State University
(Petrozavodsk, Russian Federation)
schegoleva@petrsu.ru
AVERYANOV Alexandr O.
Postgraduate student, Leading Specialist of the Budget Monitoring Center Petrozavodsk State University
Petrozavodsk State University
(Petrozavodsk, Russian Federation)
aver@petrsu.ru
GURTOV Valery A.
Doctor of Physics and Mathematics, Professor, Director of the Budget Monitoring Center
Petrozavodsk State University
(Petrozavodsk, Russian Federation)
vgurt@petrsu.ru
Keywords:
professional competencies
educational program
artificial intelligence.		 Abstract: the subject of research in this article is the sources and content of professional competencies for educational programs of higher education in the field of artificial intelligence (AI), their formulations and methods for identifying in conditions of insufficient definition of the boundaries and components of the field of artificial intelligence and a sharp increase in demand for specialists in this field. According to the results of the study, two professional standards in the field of AI, competencies proposed by the AI Alliance, employers' requirements presented in the form of wording of requirements for professions to job seekers in the texts of vacancies on job search portals can serve as sources. Specialization of educational programs can take place within the scope of AI technologies and their subtechnologies based on an approach based on the distribution of the shares of demand for methods, tools and areas of application in the corresponding field of AI technologies or subtechnologies. Examples of the transformation of professional competencies into disciplines of the curriculum are given.
Paper submitted on: 03/14/2023; Accepted on: 04/24/2023; Published online on: 06/26/2023.

References

  1. Decree of the President of the Russian Federation of October 10, 2019 No. 490 «On the development of artificial intelligence in the Russian Federation» [Electronic resource]. Garant.ru. Electron. dan. URL: https://www.garant.ru/products/ipo/prime/doc/72738946/ (date of access 04.11.2023). (In Russ.)
  2. Passport of the federal project «Artificial Intelligence» of the national program «Digital Economy of the Russian Federation» [Electronic resource]. Electron. dan. URL: https://ac.gov.ru/uploads/_Projects/AI_otbor/Passport.pdf (date of access 04.11.2023). (In Russ.)
  3. Announcement of a competition in 2021 for the provision of grants in the form of subsidies from the federal budget to organizations for the development of undergraduate and graduate programs in the field of «artificial intelligence», as well as for the advanced training of teachers of educational institutions of higher education in the field of artificial intelligence (code competition ‒ 2021-II-01) [Electronic resource]. Electron. dan. URL: https://www.minobrnauki.gov.ru/documents/?ELEMENT_ID=35315 (date of access 04.11.2023). (In Russ.)
  4. Goncharov A. S. Reforming HPE based on new approaches, proportions and methods of interaction between the mechanisms of organization, self-organization and management. Sovremennye problemy nauki i obrazovaniya [Modern problems of science and education]. 2012. No. 4. Electron. dan. URL: https://science-education.ru/ru/article/view?id=6549 (date of access 04.11.2023). (In Russ.)
  5. Telnov Yu. F., Lebedev S. A., Gasparian M. S. Designing the main professional educational programs in the direction of training «Applied Informatics» based on professional standards. New information technologies in education: Collection of scientific papers of the 17th international scientific-practical conference January 31 – February 1, 2017. Moscow, 2017. P. 20‒26. (In Russ.)
  6. Kononova O. V. Competence model of a graduate as a tool for managing, monitoring and evaluating the educational results of the OOP HPE on the basis of the Federal State Educational Standard. Territoriya novyh vozmozhnostej. Vestnik Vladivostokskogo gosudarstvennogo universiteta ekonomiki i servisa. [Territory of new opportunities. Bulletin of the Vladivostok State University of Economics and Service]. 2012. No. 5 (18). P. 124‒32. (In Russ.)
  7. Ekimova T. A., Ershova N. Yu., Nazarov A. I., Prokhorova E. I. Development and implementation of programs for continuous vocational education in the field of high technologies. Nepreryvnoe obrazovanie: XXI vek [Lifelong Education: The 21st Century]. 2021. Is. 1 (33). 1–19. (In Russ.)
  8. Bagdasaryan N. G., Petruneva R. M., Vasilyeva V. D. From the competence model of a specialist engineer to STEM education, or... Forward to the past? Vysshee obrazovanie v Rossii [Higher education in Russia]. 2022. Vol. 31. No. 5. P. 67–83. DOI: 10.31992/0869-3617-2022-31-5-67-83 (In Russ.)
  9. Ryabko T. V., Gurtov V. A., Stepus I. S. Analysis of personnel training indicators for the sphere of artificial intelligence based on the results of university monitoring. Vysshee obrazovanie v Rossii [Higher education in Russia]. 2022. Vol. 31. No. 7. P. 9–24. DOI: 10.31992/0869-3617-2022-31-7-9-24 (In Russ.)
  10. 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. Vol. 31. No. 7. P. 79–95. DOI: 10.31992/0869-3617-2022-31-7-79-95 (In Russ.)
  11. Ershova N. Yu. Training of masters in the program «Applied artificial intelligence». Teaching information technologies in the Russian Federation: Collection of scientific papers of the Twentieth Open All-Russian Conference, May 19–20, 2022. Moscow, 2022. P. 165‒166. (In Russ.)
  12. Letter from the Ministry of education and science of Russia No. MN-5/22720 dated December 21, 2021 «On the direction of the improved competency model» [Electronic resource]. Electron. dan. URL: https://fgosvo.ru/uploadfiles//method/Ps_MON_5_22720_21122022.pdf (date of access 04.11.2023). (In Russ.)
  13. Alliance in the field of artificial intelligence. Education / Basic model of professions and competencies [Electronic resource]. Electron. dan. URL: https://a-ai.ru/education/#specialist_family (date of access 04.11.2023). (In Russ.)
  14. Almanac «Artificial Intelligence». Collections #1–#10. MIPT. Moscow, 2019‒2022. (In Russ.)
  15. Gurtov V. A., Averyanov A. O., Korzun D. Zh., Smirnov N. V. Technology classification system in the field of artificial intelligence for personnel forecasting. Ekonomicheskie i social'nye peremeny: fakty, tendencii, prognoz [Economic and social changes: facts, trends, forecast]. 2022. Vol. 15. No. 3. P. 113–133. DOI: 10.15838/esc.2022.3.81.6 (In Russ.)
  16. Gurtov V. A., Pitukhin E. A., Shchegoleva L. V. Comparative analysis of professions in the field of artificial intelligence based on the competency-based approach. Perspektivy nauki i obrazovaniya [Prospects of science and education]. 2023. No. 1 (61). P. 142‒160. doi:10.32744/pse.2023.1.9 (In Russ.)
  17. HeadHunter [Electronic resource]. Electron. dan. URL: https://hh.ru/ (date of access 04.11.2023). (In Russ.)
  18. Curriculum OPOP DSTU on image processing. NPS «02.04.03 Mathematical support and administration of information systems» [Electronic resource]. Electron. dan. URL: https://edu.donstu.ru/Plans/Plan.aspx?id=42733 (date of access 04.11.2023). (In Russ.)
  19. Online advanced training program «Actual foreign educational practices and research agenda in the field of artificial intelligence» [Electronic resource]. Electron. dan. URL: https://ismc.mephi.ru/archive/priority_2030/educational_practices_ai (date of access  04.11.2023). (In Russ.)
  20. EPFL: Massive Open Online Courses [Electronic resource]. Electron. dan. URL: https://www.epfl.ch/research/domains/bluebrain/blue-brain/massive-open-online-courses/ (date of access 11.04.2023).

Displays: 588; Downloads: 105;

DOI: http://dx.doi.org/10.15393/j5.art.2023.8466