CONCEPTUAL OPTIONS OF THE METHODOLOGICAL APPROACH TO DIGITAL TRANSFORMATION OF EDUCATIONAL ACHIEVEMENTS
DOI:
https://doi.org/10.18623/rvd.v23.n4.4837Palavras-chave:
Information and Communication Technologies (ICT), Mathematical Modeling Options, Data Determination, Forecasting TrendResumo
The article aims to substantiate the conceptual and methodological options for digital transformation of educational achievements, focusing on how ICT tools and mathematical modeling contribute to sustainable human capital development and competitiveness. Particular emphasis is placed on aligning educational assessment practices with the requirements of the digital economy and the Sustainable Development Goals (SDGs). The study employs a combination of systemic and comparative analysis, statistical modeling (geometric mean, Harrington scale, Monte Carlo method), and pedagogical measurement techniques. These approaches allow the authors to evaluate the limitations of traditional assessment systems, demonstrate the advantages of digital assessment models, and classify their contribution to sustainable educational outcomes. Unlike studies that address digital education primarily through technological adoption, this research highlights the methodological dimension of assessment as a decisive factor in shaping competitive, future-ready human capital. By integrating ICT with advanced mathematical modeling, the paper bridges educational measurement, competitive intelligence, and sustainable development. The digital transformation of assessment systems enhances both the accuracy and reliability of competency evaluation, thereby supporting the formation of 21st-century skills. Beyond measuring academic success, digital assessment becomes a driver of innovation, competitiveness, and sustainability by ensuring the adaptability of human capital to continuously changing labor market demands. The article contributes to the theory of sustainable competitive intelligence in education by refining assessment models, expanding methodological tools for evaluating competencies, and demonstrating how digital intelligence can strengthen educational systems as strategic resources for sustainable development.
Referências
Amin, H., & Mirsa, M. S. (2020). Comparatitive study of knowledge and use of Bloom’s digital taxonormy by teachers and students in virtual and conventional universities. Asian Association of Open Universities Journal, 15(2), 223-238. http://dx.doi.org/10.1108/AAOUJ-01-2020-0005
Belevitin, V. A., Giss, E. I., Li, T., & Gafarova, E. A. (2023). Pragmatically oriented digitalization of the integration and resource potential of subjects of professional educational organizations. In Collection of scientific papers "Innovative technologies in training modern professional personnel: Experience, problems" (pp. 9-12). Chelyabinsk: Chelyabinsk branch of the Federal State Budgetary Educational Institution of Higher Education "Russian Presidential Academy of National Economy and Public Administration". (In Russ.)
Belevitin, V. A., Smirnov, E. N., Korneev, D. N., & Evplova, E. V. (2020). Qualimetric assessment of the university graduates’ level of professional competencies formation in the field of information technology. Bulletin of Tomsk State University. Series: "Historical Sciences and Archaeology", 457, 168-174. (In Russ.)
Bratishchenko, V. V. (2019). Measuring students’ competences with the help of academic progress. University Management: Practice and Analysis, 23(3), 69-78. https://doi.org/10.15826/umpa.2019.03.020 (In Russ.)
Brown, M., Dehoney, J., & Millichap, N. (2015). The next generation digital learning environment. A report on research. ELI Paper. Louisville: Educause.
Calero Lopez, I., & Rodriguez-Lopez, B. (2020). The relevance of cross-cutting competencies in vocational education and training: A bibliometric analysis. Empirical Research in Vocational Education and Training, 12, 12. https://doi.org/10.1186/s40461-020-00100-0
Chernaya, A. S. (2017). The use of harrington’s function in the ratings, and classification tasks. Modern Mathematics and Concepts of Innovative Mathematical Education, 4(1), 365-368. (In Russ.)
Efremova, N. F. (2019). Conceptual model of evaluation of competence of students. Modern Science-Intensive Technologies, 7, 169-174. (In Russ.)
Garcia-Valcarcel Munoz-Repiso, A., Casillas-Martin, S., & Basilotta Gomez-Pablos, V. (2020). Validation of an indicator model (INCODIES) for assessing student digital competence in basic education. Journal of New Approaches in Educational Research, 9, 116-132. https://doi.org/10.7821/naer.2020.1.459
Ismagilova, G., Miftakhova, L., Kurmaeva, I., Bazhin, G., Shapovalov, A., Kuzmitskiy, G., & Gvozdeva, D. (2025). Transformational trends in higher education in the context of digitalization: the case of artificial intelligence technologies. Revista on Line De Política E Gestão Educacional, 29(00), e025114. https://doi.org/10.22633/rpge.v29i00.20815
Kaplan, A. M., & Haenlein, M. (2016). Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the Cookie Monster. Business Horizons, 59(4), 441-450. http://dx.doi.org/10.1016/j.bushor.2016.03.008
Kateyeudo, K. K., & de Souza, R. A. C. (2022). Digital transformation towards education 4.0. Informatics in Education, 21(2), 283-309. http://dx.doi.org/10.15388/infedu.2022.13
Korshunova, O. V., & Rakipova, M. Sh. (2020). Assessment of university students' educational achievements in the context of praxeological approach. Perspectives of Science and Education, 1(43), 24-38. https://doi.org/10.32744/pse.2020.1.2 (In Russ.)
Mareque, M., & De Prada-Creo, E. (2018). Evaluación de las competencias profesionales a través de las prácticas externas: Incidencia de la creatividad [Evaluation of professional competencies through external internships: The effect of creativity]. Revista de Investigación Educativa, 36(1), 203-219. https://doi.org/10.6018/rie.36.1.275651
Nielsen, W., & Miller, K.A., Hoban, G. (2015). Science teachers’ response to the digital education revolution. Journal of Science Education and Technology, 24(4), 417-431. https://doi.org/10.1007/s10956-014-9527-3
Pan'gina, N. N., & Pan'gina, A. A. (2002). Statistical modeling: Monte Carlo method. Computer Tools in Education, 5, 30-43. (In Russ.)
Rodionov, O. V., Demichev, I. V., Zalesov, O. V., & Nikolaev, A. E. (2019). Methodology for assessing the activities of academic staff using the harrington desirability function. Scientific Thought, 8(2(32)), 23-30. (In Russ.)
Rychen, D. S. (2016). Conceptual framework: Key competences for 2030. Beijing.
Strokov, A. A. (2020). Digitalization of education: Problems and prospects. Bulletin of Minin University, 8(2), 15. https://doi.org/10.26795/2307-1281-2020-8-2-15 (In Russ.)
Sturing, L., Biemans, H., Mulder, M., & de Bruijn, E. (2011). The nature of curricula in vocational education: An evaluation of a competency-based integrated vocational education model in the Netherlands. Vocations and Learning, 4(3), 191-210. https://doi.org/10.1007/s12186-011-9059-4
Tarasova, I., Kuznetsov, A., Fomina, A., Bezveselnaya, Z., & Galukhin, A. (2026). The impact of digital educational environments on socio-political competence development of students. Conrado Journal, 22(108), e5130.
Titova, M., Zhuzeyev, S., Kozachek, A., Andreeva, E., & Shichiyakh, R. (2025). Development of students’ visual communication skills in education amid evolving artificial intelligence tools. Conrado Journal, 21(S1), e5051.
Watson, W. R., Watson, S. L., & Reigeluth, C. M. (2015). Education 3.0: Breaking the mold with technology. Interactive Learning Environments, 23(3), 332-343. https://doi.org/10.1080/10494820.2013.764322
Yessengulova, M., Ramazanova, D., Togaibayeva, A., Kaztayeva, A., Turganbayeva, B.., Sultanbayeva, L., & Abilyasheva, A. (2026). Impact of Pedagogical Management Training Program on Students’ Professional Competencies and Management Abilities Development: Case of Kazakhstan. Qubahan Academic Journal, 6(1), 135–145. https://doi.org/10.48161/qaj.v6n1a2019
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