Methods of subject analysis in the higher education system as factors in the formation of competencies of the teaching staff

The subject of the study is the mechanisms of applying the methods of subject analysis in the higher education system of Russia in the context of the digitalization of the economy. World experience has shown that information technology contributes to progress in various fields, including the substantive analysis of economic processes. The use of digital innovation tools is an important factor in improving the educational process, forming the competencies of the teaching staff and ensuring the global competitiveness of Russian higher education, taking into account Vladimir Putin’s Messages to the Federal Assembly dated February 29, 2024. The purpose of the work is to identify the main directions and methods of subject analysis as a driver for the formation of an analytical approach to decision — making that contribute to the successful work of university graduates in the field of industrial policy implementation; expansion of reproductive processes; development of the sphere of servants, trade and other areas of professional activity in the digital environment of reproductive processes. The definition of subject analytics is given. The methods of systematization of information are considered. It is concluded that the key methods of subject analysis have a universal character, which includes determining the purpose of obtaining the necessary data, their list, scope of application; data collection and purification; their visualization and quantitative analysis. The expansion of students’ practical work in the digital environment and their acquisition of subject analysis competencies within the framework of educational programs of higher education in Russia is an important area of academic work directly related to the ability to correctly use information, analytical tools and methods in order to solve important problems of economic development of the Russian Federation.

1. Hart C. Doing a literature review: releasing the research imagination. 2nd ed. London: Sage; 2018. URL: https://uk.sagepub.com/en-gb/eur/doing-a-literature-review/book257278.

2. Elo S and Kyng€as H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107–115. DOI: 10.1111/j.1365–2648.2007.04569.x

3. Whittemore R and Knafl K. The integrative review: updated methodology. J Adv Nurs. 2005;52(5):546–553. DOI: 10.1111/j.1365–2648.2005.03621.x

4. Butler-Kisber L. Qualitative inquiry: Thematic, narrative and arts-informed perspectives Sage Publications; 2010.

5. Harry B., Sturges K. M., & Klinger J. K. Mapping the process: An exemplar of process and challenge in grounded theory analysis. Educational Researcher. 2005;34(2):3–13.

6. Flick U., Kvale S., & Angrosino M. V. The sage qualitative research kit. London: Sage Publications; 2007. URL: https://uk.sagepub.com/en-gb/eur/the-sage-qualitative-research-kit/book243410.

7. Caelli K., Ray L., & Miller J. Clear as mud: toward greater clarity in generic qualitative research. International Journal of Qualitative Methods. 2003;2(2):1–13.

8. Janesick V. J. “Stretching” exercises for qualitative researchers. Thousand Oaks: Sage Publications. 1998. URL: https://journals.sagepub.com. DOI: 10.1177/136078041101600402

9. Kuper A., Linfard, L., & Levinson W. Critically appraising qualitative research. British Journal. 2008;337:687–692. DOI: 10.1136/bmj.a1035

10. Creswell J. W. Educational research: planning, conducting, and evaluating quantitative and qualitative research (2nd ed ed.). Upper Saddle River: Merrill. URL: http://www.sxf.uevora.pt/wp-content/uploads/2013/03/Creswell_2012.pdf.

11. Silverman D. Qualitative research: theory, method and practice. London: Sage Publications. 2010. URL: https://content.ub.hu-berlin.de/monographs/toc/ethnologie/BV025930177.pdf.

12. Silverman D. Interpreting qualitative data: methods for analyzing talk, text, and interaction. Thousand Oaks: Sage Publications; 2006. URL: https://is.muni.cz/el/1423/podzim2004/SOC431/um/101899/13SILVERMAN_celek.pdf.