Digital technology integration for developing professional literacy among higher education students
DOI:
https://doi.org/10.46502/issn.1856-7576/2026.20.02.24Keywords:
digital technologies, development of professional literacy of students, higher education institutions, Internet applications, artificial intelligence technologiesAbstract
The article investigates the integration of digital technologies as a means of developing professional literacy among higher education students in the context of educational digitalization. Professional literacy is defined as a multidimensional construct comprising motivational, content-information, and activity components that enable students to effectively use professional knowledge, digital resources, critical thinking, and technology-based problem-solving skills in academic and professional environments. The purpose of this study is to determine the effectiveness of integrating digital technologies into the development of professional literacy among higher education students and to experimentally verify the pedagogical conditions that facilitate this process. The research employed a mixed-methods design combining theoretical, empirical, qualitative, and quantitative approaches. The study was conducted during 2023–2025 and involved 380 students, including an experimental group (n = 190) and a control group (n = 190). Data were collected through questionnaires, testing, interviews, observations, and diagnostic assessment tasks. Statistical analysis was performed using Pearson’s χ² test at a significance level of α = .05. The results demonstrated substantial improvements in the experimental group following the implementation of digital platforms, artificial intelligence tools, virtual laboratories, and interactive technologies. The proportion of students with a high level of professional literacy increased from 12.1% to 47.9% according to the motivational criterion, from 13.8% to 46.5% according to the content-information criterion, and from 11.8% to 47.3% according to the activity criterion. Correspondingly, low-level indicators decreased from 39.9% to 11.1%, from 45.9% to 11.1%, and from 51.3% to 12.2%, respectively. In contrast, only minor changes were observed in the control group. The findings confirm the effectiveness of digital technology integration in enhancing students’ professional literacy and digital competence.
References
Araújo, A. A., Kalinowski, M., & Baldassarre, M. T. (2025). Embracing experiential learning: Hackathons as an educational strategy for shaping soft skills in software engineering. In 2025 IEEE/ACM 37th International Conference on Software Engineering Education and Training (CSEE&T) (pp. 319–324). IEEE. https://doi.org/10.1109/CSEET66350.2025.00040
Basilotta-Gómez-Pablos, V., Matarranz, M., Casado-Aranda, L.-A., & Otto, A. (2022). Teachers’ digital competencies in higher education: A systematic literature review. International Journal of Educational Technology in Higher Education, 19, 1–16. https://doi.org/10.1186/s41239-021-00312-8
Bhuiyan, B. A., Molla, M. S., & Alam, M. (2021). Managing innovation in technical education: Revisiting the developmental strategies of Politeknik Brunei. Annals of Contemporary Developments in Management & HR, 3(4), 44–57. https://doi.org/10.48550/arXiv.2111.02850
Burneo-Arteaga, P., Lira, Y., Murzi, H., Balula, A., & Costa, A. (2025). Capability-based training framework for generative AI in higher education. Frontiers in Education, 10, 1594199. https://doi.org/10.3389/feduc.2025.1594199
Chaka, C. (2023). Fourth industrial revolution – A review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Research and Practice in Technology Enhanced Learning, 18, 2. https://doi.org/10.58459/rptel.2023.18002
Dringó-Horváth, I., Rajki, Z., & T. Nagy, J. (2025). University teachers’ digital competence and AI literacy: Moderating role of gender, age, experience, and discipline. Education Sciences, 15(7), 868. https://doi.org/10.3390/educsci15070868
Gudonienė, D., Stanevičienė, E., Huet, I., Dickel, J., Dieng, D., Degroote, J., Rocio, V., Butkienė, R., & Casanova, D. (2025). Hybrid teaching and learning in higher education: A systematic literature review. Sustainability, 17(2), 756. https://doi.org/10.3390/su17020756
Hizam, S. M., Akter, H., Sentosa, I., & Ahmed, W. (2023). Digital competency of educators in the virtual learning environment: A structural equation modeling analysis. IOP Conference Series: Earth and Environmental Science, 704(1), 012023. https://doi.org/10.1088/1755-1315/704/1/012023
Knysh, I., Drobin, A., Filimonova, T., Koycheva, T., Kushnir, A., & Kuchai, O. (2024). The use of information technologies in the educational space of Ukraine (on the example of STEAM technologies). Revista Conrado, 20(100), 437–448. https://conrado.ucf.edu.cu/index.php/conrado/article/view/3979
Liu, X., & Zhong, B. (2025). Integrating generative artificial intelligence into student learning: A systematic review from a TPACK perspective. Educational Research Review, 49, 100741. https://doi.org/10.1016/j.edurev.2025.100741
Mejías-Acosta, A., D’Armas Regnault, M., Vargas-Cano, E., Cárdenas-Cobo, J., & Vidal-Silva, C. (2024). Assessment of digital competencies in higher education students: Development and validation of a measurement scale. Frontiers in Education, 9, 1497376. https://doi.org/10.3389/feduc.2024.1497376
Moundy, K., Chafiq, N., & Talbi, M. (2025). Hybrid skills: Analysis of digital soft skills development in students during digital literacy learning through a digital textbook and flipped classroom. Journal of Educators Online, 22(1). https://doi.org/10.9743/JEO.2025.22.1.13
Prasetya, F., Fortuna, A., Samala, A. D., Latifa, D. K., Andriani, W., Gusti, U. A., Raihan, M., Criollo-C, S., Kaya, D., & Cabanillas García, J. L. (2025). Harnessing artificial intelligence to revolutionize vocational education: Emerging trends, challenges, and contributions to SDGs 2030. Social Sciences & Humanities Open, 11, 101401. https://doi.org/10.1016/j.ssaho.2025.101401
Sancho-Cantus, D., Cubero-Plazas, L., Botella Navas, M., Castellano-Rioja, E., & Cañabate Ros, M. (2023). Importance of soft skills in health sciences students and their repercussion after the COVID-19 epidemic: A scoping review. International Journal of Environmental Research and Public Health, 20(6), 4901. https://doi.org/10.3390/ijerph20064901
Saúde, S., Barros, J., & Almeida, I. (2024). Impacts of generative artificial intelligence in higher education: Research trends and students’ perceptions. Social Sciences, 13(8), 410. https://doi.org/10.3390/socsci13080410
Tan, Q. (2025). Reimagining teacher development in the era of generative AI: A scoping review. Teaching and Teacher Education, 168, 105236. https://doi.org/10.1016/j.tate.2025.105236
Yoshida, Y., Uno, T., Tanaka, H., Hakosaki, I., Shigeta, K., & Yano, R. (2022). Cognitive changes with psychomotor skill acquisition through blended learning among nursing students: A qualitative study. Nurse Education in Practice, 65, 103486. https://doi.org/10.1016/j.nepr.2022.103486
Yulin, N., & Danso, S. D. (2025). Assessing pedagogical readiness for digital innovation: A mixed-methods study. arXiv. https://doi.org/10.48550/arXiv.2502.15781
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Copyright (c) 2026 Olga Chashechnikova, Svitlana Kondratiuk, Iryna Hordiienko, Nataliia Kulchytska, Olena Balalaieva

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