Model and criteria for evaluating the digital component in basic professional educational programs
https://doi.org/10.20913/2224-1841-2026-1-8
Abstract
Introduction. In the context of the digital transformation of education, developing an effective model for shaping the digital component of professional educational programs is a pressing issue.
Purpose setting. One of the key aspects of successfully implementing the digital component of educational programs is the development and application of appropriate evaluation criteria.
The purpose of this article is to propose a model for evaluating the digital component of professional educational programs in the context of labor market demands.
Methodology and methods of the study. The following methods were used: collecting, systematizing, and structuring data on the research topic, analyzing bibliographic sources, and structural modeling of indicators for the digital component of professional educational programs. The methodological basis of the study was formed by such scientific approaches as the structural-systemic approach, the competency-based approach, and the practice-oriented approach.
Results. An analysis of bibliographic sources on the topic of developing digital competence in students was conducted, as well as an analysis of employer requirements for the digital competence of job seekers on the HeadHunter service. A model for evaluating the digital component of professional educational programs is proposed. The evaluation criteria for this component include program characteristics such as the program’s educational, methodological, logistical, scientific, and personnel support, as well as the practical training and employment outcomes of graduates. Each of these characteristics can be assessed using the quantitative and qualitative indicators proposed in the model.
Conclusion. The development of objective evaluation criteria will not only determine students’ digital competencies but also stimulate their further development and facilitate the integration of modern technologies into professional practice. The model presented in this article aims to systematize criteria and indicators that facilitate a comprehensive assessment of the digital component of education, which is important for preparing competitive personnel in the digital economy.
About the Author
T. M. ShamsutdinovaRussian Federation
Tatiana M. Shamsutdinova, candidate of physical and mathematical sciences, associate professor
department of digital technologies and applied informatics
450001; 34 50-letiya Oktyabrya Str.; Ufa
References
1. Konstantinova D. S., Kudaeva M. M. Digital competencies as the basis for the professional education transformation. Russian journal of labor economics, 2020, vol. 7, no. 11, pp. 1055–1072. (in Russ.)
2. Mezentceva D. A., Dzhavlakh E. S., Eliseeva O. V., Bagautdinova A. Sh. On the question of pedagogical digital competence. Higher education in Russia, 2020, vol. 29, no. 11, pp. 88–97.
3. Kal’nickaja I. V., Maksimochkina O. V. The model of students’ digital competence. Problems of modern education, 2022, no. 4, pp. 204–218. (in Russ.)
4. Toktarova V. I., Rebko O. V. Digital literacy: definition, components and assessment. Bulletin of the Mari State University, 2021, vol. 15, no. 2 (42), pp. 165–177. (in Russ.)
5. Sánchez-Caballé A., Gisbert-Cervera M., Esteve-Món F. Integrating Digital Competence in Higher Education Curricula: An Institutional Analysis. EDUCAR, 2021, vol. 57 (1), pp. 241–258. DOI: 10.5565/rev/educar.1174
6. Caviglia F., Boie M. A. K., Dalsgaard C., Pedersen A. Y. Bringing digital competence to the disciplines. Education Inquiry, 2024, pp. 1–29. DOI: 10.1080/20004508.2024.2318842
7. Zhong Z., Juwaheer S. Digital competence development in TVET with a competency-based whole-institution approach. Vocat Tech Edu. 2024, no. 1 (2). DOI: 10.54844/vte.2024.0591
8. López-Nuñez J.-A., Alonso-García S., Berral-Ortiz B., Victoria-Maldonado J.-J. A Systematic Review of Digital Competence Evaluation in Higher Education. Education sciences, 2024, no. 14 (11), p. 1181. DOI: 10.3390/educsci14111181
9. Fessl A., Maitz K., Paleczek L., Koehler T., Irnleitner S., Divitini M. Designing a curriculum for digital competencies towards teaching and learning. European conference on e-learning, 2022, no. 21. pp. 469–471. DOI: 10.34190/ecel.21.1.723
10. Denisenko A. F., Grishin R. G., Gasparova L. B., Gorjainov D. S. Revising the academic program for the purpose of professional digital competencies development. Vector of Science, Togliatti State University. Series: pedagogy, psychology, 2022, no. 1 (48), pp. 7–13. (in Russ.)
11. Savka O. G., Gusarova M. N., Sumina S. V., Knjazev Ja. O., Bezrukov D. A. Model of formation of digital competences in implementing higher education programs. Russian technological journal, 2022, vol. 10, no. 6, pp. 78–90. (in Russ.)
12. Zhao Z. Theoretical and practical exploration of work-based learning curriculum with a case study. Vocat Tech Edu, 2024, no.1 (1). DOI: 10.54844/vte.2024.0518
13. Gladilina I. P. Compliance of the competencies of university graduates and the needs of the labor market in the context of digital transformation. Modern pedagogical education, 2022, no. 1, pp. 10–13. (in Russ.)
14. Karakozov S. D., Petrov D. A., Hudzhina M. V. Designing of bachelor’s degree programs in terms of bringing the Federal Educational Standards in compliance with the professional standards. Teacher of the 21<sup>st</sup> Century, 2015, no. 2–1, pp. 9–23. (in Russ.)
15. Shitjakova N. P., Verhovyh I. V. Definition of Educational Results of Basic Professional Educational Program as Condition of Objective Assessment of Education Quality. Bulletin of the South Ural State University. Ser. Education. Educational sciences, 2018, vol. 10, no. 3, pp. 15–23. (in Russ.)
16. Aletdinova A. A., Antonyants E. N. The use of generative neural network assistants in the educational process: threats and new opportunities. Professional education in the modern world, 2025, vol. 15, no. 2, pp. 305–313. DOI: 10.20913/2618-7515-2025-2-12 (in Russ.)
17. Oates A., Johnson D. ChatGPT in the Classroom: Evaluating its Role in Fostering Critical Evaluation Skills. International Journal of artificial intelligence in education, 2025, DOI: 10.1007/s40593-024-00452-8
18. Konstantinova L. V., Vorozhikhin V. V., Petrov A. M., Titova E. S., Shtykhno D. A. Generative Artificial Intelligence in Education: Discussions and Forecasts. Open education, 2023, vol. 27 (2), pp. 36–48. (in Russ.)
19. Shamsutdinova T. M., Prokof’eva S. V. Evaluation of the practical orientation ofprofessional educational programs in the preparation of IT specialists. Vocational education and labour market, 2023, vol. 11, no. 1 (52), pp. 89–106. (in Russ.)
20. Yumasheva I. A. Practice-Oriented Model of the Educational Process of the University. Scientific notes of the St. Petersburg University of management technologies and economics, 2019, no. 4 (68), pp. 5–10. (in Russ.)
Review
For citations:
Shamsutdinova T.M. Model and criteria for evaluating the digital component in basic professional educational programs. Professional education in the modern world. 2026;16(1):58-67. (In Russ.) https://doi.org/10.20913/2224-1841-2026-1-8
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