Education in End-to-end Technologies in Russian Universities: Scale of Implementation and Features of Management

The article is devoted to the issues of managing education in end-to-end technologies, in particular big data analytics and artificial intelligence, in Russian universities. The article presents statistical data on the scale of the implementation of big data and artificial intelligence training programs in Russian universities. The authors note that to process a significant amount of information, algorithms for working with big data were used, such as Google Chrome extensions for extracting data from Instant data scraper and Table Capture web pages. Based on the results of the study, the key features of managing the development and implementation of training programs for big data and artificial intelligence in the top 15 universities of the country were identified and analyzed. It is noted that most of the programs have been developed “at the intersection” of academic disciplines and are aimed at training universal specialists, which dictates the integration of university faculties during their creation and close interaction with representatives of the professional community. Judgments are given that themost dense integration of universities and business is the automatic employment of students during the period of study. It is revealed that the management of the development of training programs for big data and artificial intelligence involves collaboration with EdTech platforms and the implementation of programs in a remote form that combines the advantages of a classical university program and the convenience of online learning, in particular, communicative comfort. The study showed that learning management also involves the development of “soft skills” among specialists in the field of data analytics and artificial intelligence.

1. Atlas professii budushchego [Professions of the Future] / N. Anisimov, L. Gokhberg, G. Gref, N. Dudina, S. Chernogortseva, N. Shmatko [et al.]; National Research University Higher School of Economics; PJSC Sberbank. Moscow, HSE, 2021, vol.2, 240 p.

2. Rubin Yu. B. Competition in the Russian education: theory and contradictory reality. Universitetskoe upravlenie: praktika i analiz=University Management: Practice and Analysis, 2017, vol.21, no.5(111), pp.17-30 (in Russian). DOI: 10.15826/umpa.2017.05.058.

3. Vasilev A. I. Quality and competitiveness in the system of higher education: aspects of interrelation. Vysshee obrazovanie v Rossii=Higher Education in Russia, 2019, vol.28, no.4, pp.37-43 (in Russian). DOI: 10.31992/0869-3617-2019-28-4-37-43.

4. Kovalenko A. I. Theoretical and methodological aspects of application the concept of “competitive ability” in scientific researches. Sovremennaya konkurentsiya=Journal of Modern Competition, 2013, no.6(42), pp.65-79 (in Russian).

5. Alaverdov A. R., Yagodkina I. A. Competence approach to organizing the educational process as an important competitive advantage modern university. Sovremennaya konkurentsiya=Journal of Modern Competition, 2013, no.2, pp.69-76 (in Russian).

6. Ul’yanova M. E. Factors Increasing the Competitiveness of Universities: The International Context. Mir novoi ekonomiki=The World of New Economy, 2018, vol.12, no.2, pp.72-77 (in Russian). DOI: 10.26794/2220-6469-2018-12-2-72-77.

7. Endovitsky D. А., Korotkikh V. V., Voronova M. V. Competitiveness of Russian Universities in the Global System of Higher Education: Quantitative Analysis. Vysshee obrazovanie v Rossii=Higher Education in Russia, 2020, vol.29, no.2, pp.9-26 (in Russian). DOI: 10.31992/0869-3617-2020-29-2-9-26.

8. Vasilev А. Competitiveness of the university in the light of competition theory and Russian legislation. Sovremennaya konkurentsiya=Journal of Modern Competition, 2017, vol.11, no.6(66), pp.122-134 (in Russian).

9. Kovalenko А. A value-based approach to online entrepreneurship education in college and undergraduate programs in Russia. Sovremennaya konkurentsiya=Journal of Modern Competition, 2021, vol.15, no.1(81), pp.108 115 (in Russian). DOI: 10.37791/2687-0657-2021-15-1-108-115.

10. Chorosova O. M., Alekseeva A. Z. The current challenges in developing the electronic (remote) training during digitalization at NEFU CPE. Vestnik Severo-Vostočnogo federalʹnogo universiteta im. M. K. Ammosova. Seriâ «Pedagogika. Psihologiâ. Filosofiâ»=Vestnik of North-Eastern Federal University. Pedagogics. Psychology. Philosophy, 2019, no.2(14), pp.19-26 (in Russian).

11. Nikolskiy V. S., Lukashenko M. A., Sharova E. A. The Modern World Landscape of Data Science Online Education. Vysshee obrazovanie v Rossii=Higher Education in Russia, 2022, vol.31, no.4, pp.148-166 (in Russian). DOI: 10.31992/0869-3617-2022-31-4-148-166.

12. Schwab-McCoy A., Baker C., Gasper R. Data Science in 2020: Computing, Curricula, and Challenges for the Next 10 Years. Journal of Statistics and Data Science Education, 2021, vol.29, sup.1, pp.S40-S50. DOI: 10.1080/10691898.2020.1851159.

13. Irizarry R. A. The role of academia in data science education. Harvard Data Science Review, 2020, no.2(1), pp.1-8. DOI: 10.1162/99608f92.dd363929.

14. Demchenko Y., Belloum A., Wiktorski T. Edison Data Science Framework: Part 1. Data Science Competence Framework, 2017. Available at: http://edison-project.eu/data-science-competence-framework-cf-ds (accessed 06.02.2023). DOI:10.5281/zenodo.167585.

15. Top-100 vuzov Rossii. Vypusk 2022 goda [Top 100 universities in Russia. Release of 2022]. RAEX Rating Review. Available at: https://raex-rr.com/education/universities/rating_of_universities_of_russia (accessed 06.02.2023).

16. Dekan fakul’teta MO A.A. Sushencov – o novoj programme «Bol’shie dannye i modelirovanie mezhduna-rodnyh otnoshenii» [Dean of the Faculty of the Moscow Region A. A. Sushentsov – about the new program “Big Data and Modeling of International Relations”]. MGIMO: official site, 07.07.2022. Available at: https://mgimo.ru/about/news/main/mo-big-data-2022/ (accessed 06.02.2023).

17. Lukashenko M. A. Self-Management Skills as a Basis for the Effectiveness of e-Learning. Vysshee obrazovanie v Rossii=Higher Education in Russia, 2021, vol.30, no.2, pp.61-70 (in Russian). DOI: 10.31992/0869-3617-2021-30-2-61-70.

18. Grebnev L. S., Kirabaev N. S., Sheinbaum V. S., Zborovsky G. E., Lukashenko M. A. The Journal “Higher Education in Russia”: 30 Years of Research and Reflection. Vysshee obrazovanie v Rossii=Higher Education in Russia, 2022, vol.31, no.12, pp.150-166 (in Russian). DOI: 10.31992/0869-3617-2022-31-12-150-166.