Updating the content of teacher retraining programs

   This article is devoted to research in the field of updating the substantive content of teacher training programs.

   The novelty of the research lies in the fact that for the first time in one study, various components of the digitalization of the educational process are considered as the most popular in the pedagogical community: pedagogical design, Big Data, technologies of individualization of learning.

   In the Introduction, the author provides an overview of the current situation in the field of education. The «Methods» section provides the main methodological research tools: a sociological survey and methods of mathematical statistics. The «Results» section presents a new approach to the preparatory work on the study of initial knowledge and data for the development of advanced digital and end-to-end technologies in order to introduce them into the content of educational and methodological complexes and programs that need to be updated first. The latest little-studied services and tools of digital and end-to-end technologies are endowed with multifaceted didactic resources and potential, therefore, timely updating of methodological and teaching aids is important in order to increase pedagogical effectiveness. The Discussion of the results reveals
the need for teachers to familiarize themselves as soon as possible with all the rapidly growing technological innovations in the field of pedagogical design, the possibilities of big data, individualization of learning. Currently, as this study shows, excessive adherence to traditional technologies is a serious problem that hinders and hinders the digitalization of education. It is overlooked that the latest digital and end-to-end technologies make it possible for a generation of students familiar with gadgets from early childhood and born with a digit to understand many subject and interdisciplinary knowledge, and open up numerous new educational opportunities and approaches. The Conclusion reveals the need for frequent diagnostics, conducting surveys of teachers for timely updating and filling with relevant topics, manuals, tools that make the learning process effective and bring the learning process closer to individualized, personal learning is revealed.

1. Deev, M. V., Finogeev, A. G., Finogeev, A. A., Gamidullaeva, L. A. (2020). Models and methods for updating educational programs and content within the framework of building intelligent educational systems. Caspian Journal: Management and High Technologies, 4(52), 9–20. (in Russ.).

2. Fiofanova, O. A. (2020). Big data analysis in education: methodology and technologies: a monograph. Moscow: Delo Publishing House. (in Russ.).

3. Gasinets, M. V., Kapuza, A. V., Dobryakova, M. S. (2022). The agency of teachers in shaping the educational success of schoolchildren: roles and beliefs. Educational Studies, 1, 75–97. (in Russ.).

4. Hicks, S. C., Irizarry, R. A. (2018). A Guide to Teaching Data Science. American Statistician, 72(4), 382–391. doi: 10.1080/00031305.2017.1356747

5. Karmolitskaya, L. A., Nedostupenko, D. A., Silchenko, O. V. (2022, April). Problems and prospects for the development of motivation for obtaining professional education. In: Science Issues 2022: The Potential of Science and Modern Aspects. Proceedings of the XXVII International Scientific and Practical Conference (pp. 56–69). Anapa: Research Center for Economic and Social Processes.

6. Kazakova, E. I. (2020). Digital transformation of teacher education. Yaroslavl Pedagogical Bulletin, 1(112), 8–14. (in Russ.).

7. Kindrya, N. A. (2015). The principle of individualization in the domestic methodology. Young scientist, 22(102), 810–813. (in Russ.).

8. Konovalov, M. V. (2018). Big Data. Features and role in modern business. In: Technical sciences: problems and prospects. Proceedings of the VI International Scientific and Practical Conference (pp. 8–10). St. Petersburg: Original Publishing House. (in Russ.).

9. Leskina, I. N. (2021). Big data as a resource for managing the effectiveness of the professional activity of a teacher. In: Teaching information technologies in the Russian Federation. Proceedings of the XIX Open All-Russian Conference (pp. 179–182). Moscow: 1C-Publishing. (in Russ.).

10. Markova, S. M., Narkoziev A. K. (2019). Methodology for the study of the content of vocational education. Bulletin of the Minin University, 7(1), 2. (in Russ.).

11. Poroshin, I. E. (2020). Big Data and data Science: progressive trends of modernity. Young Scientist, 27(317), 59–61. (in Russ.).

12. Publishing House of the Higher School of Economics (2019). Problems and prospects of digital transformation of education in Russia and China. In: Digital Transformation of Education and Artificial Intelligence. Proceedings of the II Russian-Chinese Conference of Education Researchers. Moscow: Publishing House of the Higher School of Economics. (in Russ.).

13. Shirinkina, E. V. (2020). Designing the pedagogical design of the educational environment of the university. Bulletin of the St. Petersburg State Institute of Culture, 1(46), 156–162. (in Russ.).

14. Starichenko, B. E. (2020). Digitalization of education: realities and problems. Pedagogical education in Russia, 4, 16–26. doi: 10.26170/po20-04-02 (in Russ.).

15. Tavukcu, T., Kalimullin, A. М., Litvinov, A. V., Shindryaeva, N. N., Abraukhova, V., Abdikeev, N. M. (2020). Analysis of Articles on Education and Instructional Technologies (Scopus). International Journal of Emerging Technologies in Learning (iJET), 15(23), 108–120. doi: 10.3991/ijet.v15i23.18803

16. Utemov, V. V., Gorev, P. M. (2018). Development of educational systems based on Big Data technology. Scientific and methodological electronic journal «Concept», 6, 104–116. (in Russ.).

17. Vaganova, O. V., Pavlova, E. S., Shagalova, O. G., Voronina, I. R. (2020). Teaching individualization technology. Baltic Humanitarian Journal, 2(31), 208–211. (in Russ.).

18. Vance, E. A. (2021). Using Team-Based Learning to Teach Data Science. Journal of Statistics and Data Science Education, 29(3), 277–296. doi: 10.1080/26939169.2021.1971587

19. Williamson, B. (2015). Governing methods: Policy innovation labs, design and data science in the digital governance of education. Journal of Educational Administration and History, 47(3), 251–271. doi: 10.1080/00220620.2015.1038693