Abstract and keywords
Abstract (English):
The article deals with the statistical analysis of the effectiveness of the educational process at university. The research featured factors affecting the quality of training university students. The authors employed quantitative and qualitative indicators and organizational and pedagogical approaches, as well as methods of correlation and variance analysis. The indicators were systematized and generalized in order to identify the extent of their impact on the effectiveness of the factors under consideration. The reliability of the results was checked using the Pearson test. The methodology of the study was based on the identification of factors that affect the students’ achievements. A factor is a condition for good quality education. Based on the principles of general and professional education of the individual, the authors identified two groups of factors: 1) those related to the performance of the general education stage (academic performance, training profile); 2) those related to the results of higher education (academic performance, areas of training, course of study, academics). The academic performance of the first-year students did not depend on the results of the Unified State Exam and school grades. This dependence began to manifest itself during the second year, i.e. after the adaptation period. Statistical processing provided a mathematical model of the dependence of academic performance on the identified factors. The model can be used to predict the results of academic performance, as well as to adjust the learning process in order to improve the quality of university graduates' training, e.g. additional consultations, new information technologies, changes in the curriculum, level-based differentiation of content, tasks, individualized tasks, etc. The results are of interest for organizers of psychological and pedagogical support of professional self-determination for university students and their socio-psychological adaptation.

mathematical data processing, educational process, quality of student training, information system, monitoring
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1. Tsgoeva N. A. Student training quality improvement on the basis of modern educational models. Vestnik Irkutskogo gosudarstvennogo tekhnicheskogo universiteta, 2015, (6): 422–426. (In Russ.)

2. Bakulin N. V. Quality of preparation students and model of estimation of their potential possibilities. Vestnik Tulskogo gosudarstvennogo universiteta. Seriia: Sovremennye obrazovatelnye tekhnologii v prepodavanii estestvennonauchnykh distsiplin, 2014, (1): 90–93. (In Russ.)

3. Pogrebnikov A. K., Shestakov V. N., Yakunin, Yu. Yu. Personal learning environment as a tool for improving students' performance. Perspektivy nauki i obrazovania, 2019, (6): 473–483. (In Russ.) DOI: 10.32744/pse.2019.6.39

4. Grigorash O. V. Technology assessment of the effectiveness of the educational work of teachers and departments in technical universities. Pedagogicheskii zhurnal, 2018, 8(5A): 389–397. (In Russ.)

5. Sadretdinov R. A. Development of the student's personality to improve the quality of professional training. The quality management system at university: health, education, and competitiveness: Proc. IX Intern. Sci.-Pract. Conf., Chelyabinsk, April 30, 2020. Chelyabinsk, 2020, 235–239. (In Russ.)

6. Pryalukhina A. V., Sozinova M. V. Psichological and pedagogical support of professional development of the personality of a student at the university. Bizness. Education. Law, 2020, (1): 384–388. (In Russ.) DOI: 10.25683/VOLBI.2020.50.146

7. Golubkov S. A., Ilyukhina N. A., Rubtsova T. P. Readiness of the teacher of higher education institution for the organization of intra high school monitoring of quality of training of students. Izvestiya of the Samara Science Centre of the Russian Academy of Sciences. Social, Humanities, Biomedical Sciences, 2018, 20(5): 16–20. (In Russ.)

8. Rubtsova T. P. Preparing a teacher to perform an innovative function in the professional development system. Izvestiya of the Samara Science Centre of the Russian Academy of Sciences. Social, Humanities, Biomedical Sciences, 2020, 22(71): 42–47. (In Russ.) DOI: 10.37313/2413-9645-2020-22-71-42-47

9. Vikulina M. A. General cultural competences – the basis of modern specialist training. Vestnik Tomskogo gosudarstvennogo pedagogicheskogo universiteta, 2015, (12): 120–124. (In Russ.)

10. Turtkarayeva G. B. Monitoring as a method of educational activity's valuation and dimention. Vestnik Permskogo gosudarstvennogo gumanitarno-pedagogicheskogo universiteta. Seriia № 1: Psikhologicheskie i pedagogicheskie nauki, 2014, (2-2): 130–134. (In Russ.)

11. Kopytova N. E. Monitoring in the education system: basic concepts, problems, and opportunities. Psikhologo-pedagogicheskiy zhurnal "Gaudeamus", 2003, (3): 91–97. (In Russ.)

12. Kilessa L. A., Petrunina M. E. Conceptual model of the academic achievements quality monitoring system within the mixed training on the discipline "Informatics". Pedagogicheskii eksperiment: podkhody i problemy, 2019, (5): 94–99. (In Russ.)

13. Burmistrova N. A, Ivanova E. V., Mescheryakova N. A, Simonova N. Y. Assessment of the quality of subject training of bachelors and masters in the changing of the socio-economic conditions. Standarty i monitoring v obrazovanii, 2019, 7(2): 16–24. (In Russ.) DOI: 10.12737/article_5ca4a62525cdb2.22244817

14. Basev I. N., Golunova L. V. Monitoring of student educational activities in LMS Moodle (on the example of information technology subject). Vestnik Sibirskogo gosudarstvennogo universiteta putei soobshcheniia gumanitarnye issledovaniia, 2019, (2): 29–36. (In Russ.)

15. Gusakov V. P., Vyalitsyn A. A., Shebelistova O. V. Mathematical model of integral assessment of the quality of education. Congress of conferences "Information technologies in education". Moscow, 2003. Available at: (accessed 15.07.2020). (In Russ.)

16. Mashnev M. M., Druzhinin Yu. A. About quantitative criteria of academic performance. Alma mater (Vestnik vysshei shkoly), 1975, (6): 133–138. (In Russ.)

17. Vershina A. I., Soldatov B. T. Modeling of the learning process. Radio Electronics, Computer Science, Control, 2003, (1): 65–72. (In Russ.)

18. Antipenko A. I. Experience of using the "System method for assessing the quality of training students" in the disciplines "Management and organization of production". Congress of conferences "Information technologies in education". Moscow, 2003. Available at: (accessed 15.07.2020). (In Russ.)

19. Bicherova E. N., Feshchenko E. M. Dynamics of ideas about the future profession of students of the Institute of Management in the learning process. Alma mater (Vestnik vysshei shkoly), 2015, (5): 55–59. (In Russ.)

20. Zhitomirskii V. G. Factors affecting academic performance. Alma mater (Vestnik vysshei shkoly), 1972, (9): 22–28. (In Russ.)

21. Korneeva Ya. V., Lesnikova S. L., Rusakova N. A., Shiker K. V. Analysis of the process of adaptation and professional self-determination of university students with the use of the information system. Fundamental informatics, information technologies, and control systemios: realities and prospects. FIITM-2014: Proc. Intern. Sci.-Prac. Conf., Krasnoyarsk, November 25–27, 2014. Krasnoyarsk, 2014, 212–216. (In Russ.)

22. Nuzhdin V. N., Kadamtseva G. G., Panteleev E. R., Tikhonov A. I. Strategy and tactics of education quality management. Ivanovo: IGEU, 2003, 196. (In Russ.)

23. Ainshtein V. G. Analysis of the learning process using modeling. Alma mater (Vestnik vysshei shkoly), 1975, (6): 17–21. (In Russ.)

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