Application of mathematical statistics methods in the selection of educational process models by the example of the “Flipped Classroom” model

Authors

DOI:

https://doi.org/10.22633/rpge.v30i00.21163

Keywords:

Flipped classroom, Student readiness, Mathematical statistics, Regression analysis, Higher education

Abstract

The study assesses students’ readiness to use the “flipped classroom” model and identifies the factors influencing its implementation in higher education. The research combined exploratory interviews with a questionnaire completed by 126 students. Descriptive statistics, correlation analysis and regression modelling were used to evaluate ten predictors. The results show that readiness is mainly related to perceived personalisation, commitment to the model, positive attitudes toward online resources, application of prior knowledge and independent work. The findings indicate that implementation should be gradual and supported by clear materials, stable digital infrastructure, teacher guidance and workload monitoring.

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Author Biography

Elisaveta Kondrashova, National Research Moscow State University of Civil Engineering

National Research Moscow State University of Civil Engineering (NRU MGSU), Moscow – Russia. Candidate of Physical and Mathematical Sciences, Associate Professor. Department of Higher Mathematics.

References

Al-Samarraie, H., Shamsuddin, A., & Alzahrani, A. I. (2020). A flipped classroom model in higher education: A review of the evidence across disciplines. Educational Technology Research and Development, 68, 1017–1051. https://doi.org/10.1007/s11423-019-09718-8

Appels, L., De Maeyer, S., & Van Petegem, P. (2024). Re-imagining educational quality: The need for a multidimensional approach in evaluating educational quality through TIMSS data. Studies in Educational Evaluation, 83, Article 101409. https://doi.org/10.1016/j.stueduc.2024.101409

Bergmann, J., & Sams, A. (2012). Flip your classroom: Reach every student in every class every day. International Society for Technology in Education.

Bergmann, J., & Sams, A. (2013). Flipping for mastery. Educational Leadership, 71(4), 24–29.

Dneprovskaya, N. V. (2018). Otsenka gotovnosti rossiyskogo vysshego obrazovaniya k tsifrovoy ekonomike [Assessment of the readiness of the Russian higher education for the digital economy]. Statistics and Economics, 15(4), 16–28. https://doi.org/10.21686/2500-3925-2018-4-16-28

Eltsov, A. V., & Eltsova, L. F. (2021). O realizatsii nekotorykh didakticheskikh printsipov obucheniya v elektronnoy informatsionno-obrazovatel'noy srede vuza [On the realization of some didactic principles of university training in the electronic informational and educational environment]. Personality in a Changing World: Health, Adaptation, Development, 9(3), 249–256. https://doi.org/10.23888/humJ20213249-257

Eltunova, I. B., & Nesterov, A. S. (2021). Ispol'zovaniye algoritmov iskusstvennogo intellekta v obrazovanii [Use of artificial intelligence algorithms in education]. Modern Pedagogical Education, 11, 150–154.

Kanygin, G. V. (2013). Analiz kachestvennykh dannykh kak nauchnyy metod [Qualitative data analysis as a scientific method]. St. Petersburg Sociology Today, 4, 253–266.

Krylova, E. A. (2020). Tekhnologiya smeshannogo obucheniya v sisteme vysshego obrazovaniya [Blended learning in higher education]. Tomsk State Pedagogical University Bulletin, 1(207), 86–93. https://doi.org/10.23951/1609-624X-2020-1-86-93

Little, T. D., Stickley, Z. L., Rioux, C., & Wu, W. (2024). Quantitative research methods. In W. Troop-Gordon & E. W. Neblett Jr. (Eds.), Encyclopedia of adolescence (2nd ed., pp. 403–417). Academic Press. https://doi.org/10.1016/B978-0-323-96023-6.00095-6

Prokhorova, M. P., Lebedeva, T. E., & Grigoryan, K. M. (2020). Sovremennyye metody i tekhnologii obucheniya v vysshey shkole: obzor zarubezhnogo opyta [Modern teaching methods and technologies in higher education: A review of foreign experience]. Problemy Sovremennogo Pedagogicheskogo Obrazovaniya, 66(4), 235–238.

Razuvaeva, T. A. (2012). Kompetentnostnaya model' obrazovaniya: kratkiy analiz klyuchevykh ponyatiy i problem realizatsii [Competence-based education: Analysis of the key concepts and problems]. Izvestiya Penzenskogo Gosudarstvennogo Pedagogicheskogo Universiteta im. V.G. Belinskogo, 28, 986–989.

Savva, L. I., Novikova, T. B., Kurzaeva, L. V., & Dubrovsky, V. V. (2023). Razrabotka kompetentnostnoy modeli trebovaniy k rezul'tatam obucheniya spetsialistov sfery komp'yuternoy grafiki i igrovykh spetseffektov [Development of a competent model of requirements for the results of training specialists in the field of computer graphics and game special effects]. Bulletin of Orenburg State University, 1(237), 65–72. https://doi.org/10.25198/1814-6457-237-65

Shutenko, A. I. (2016). Informatsionnyye tekhnologii distantsionnogo obucheniya kak instrumenty povysheniya dostupnosti i polnotsennosti vuzovskoy podgotovki [Information technologies of distance learning as tools of improvement of accessibility and fulness of higher education]. Bulletin on Pedagogy and Psychology of Southern Siberia, 4, 56–67.

Sidorov, I. A., & Voronov, S. A. (2020). Metody matematicheskoy statistiki v izuchenii tekhnologii razvitiya upravlencheskoy kompetentsii kursantov [Methods of mathematical statistics in studying the technology of development of management competence of courses]. Scientific and Analytical Journal “Vestnik Saint-Petersburg University of State Fire Service of EMERCOM of Russia,” 4, 120–125.

Sulukova, L. F., & Yerkulov, B. A. (2024). Metodika otsenki kachestva obrazovatel'noy informatsionnoy sistemy [Methodology for assessing the quality of an educational information system]. International Journal of Advanced Technology and Natural Sciences, 1(5), 95–99.

Wallwey, C., & Kajfez, R. L. (2023). Quantitative research artifacts as qualitative data collection techniques in a mixed methods research study. Methods in Psychology, 8, Article 100115. https://doi.org/10.1016/j.metip.2023.100115

Zarubina, E. V., & Fateeva, N. B. (2017). Kolichestvennyye metody izucheniya organizatsionnoy kul'tury predpriyatiya [Quantitative methods of studying the organisational culture]. Agrarnoye Obrazovaniye i Nauka, 4, 36.

Zolotareva, S. A. (2022). Metod “perevernutogo klassa”: istoriya i opyt primeneniya [The “flipped classroom” method: History and experience]. Mir Nauki, Kultury, Obrazovaniya, 2(93), 30–32.

Published

18/05/2026

How to Cite

Kondrashova, E. (2026). Application of mathematical statistics methods in the selection of educational process models by the example of the “Flipped Classroom” model. Revista on Line De Política E Gestão Educacional, 30(00), e026043. https://doi.org/10.22633/rpge.v30i00.21163

Issue

Section

Ensaios e Comunicação Cien´tifica