Developing readiness for SMART technology use in future professionals: A quasi-experimental approach
DOI:
https://doi.org/10.46502/issn.1856-7576/2026.20.02.10Keywords:
future specialists, SMART technologies, virtual laboratories, cloud SMART technologies, SMART environmentAbstract
The rapid digital transformation of higher education necessitates the integration of innovative tools that enhance the professional training of future professionals. This study aims to experimentally verify the effectiveness of pedagogical conditions and a structured training system designed to develop students’ readiness to apply smart digital tools in professional activities. A mixed-methods quasi-experimental design was employed, involving 174 students divided into experimental (n=88) and control (n=86) groups. Data were collected through questionnaires, observations, interviews, and diagnostic tasks, and analyzed using descriptive statistics and Student’s t-tests. The intervention included the implementation of a SMART-oriented educational environment integrating virtual laboratories, cloud-based platforms, and interactive learning strategies such as gamification and project-based learning. The findings indicate a statistically significant improvement in the experimental group, with the proportion of students demonstrating a high level of readiness increasing from 21.5% to 51.3%, while the share with a low level decreased substantially. The study contributes to the field by providing empirical validation of a pedagogically grounded model that integrates digital tools with targeted instructional conditions to enhance motivational, cognitive, and activity-based components of professional readiness. The results highlight that the effectiveness of smart learning environments depends not only on technological infrastructure but also on systematic pedagogical design. These findings have practical implications for modernizing higher education and developing students’ digital competencies in line with labor market demands.
References
Aguayo, C., Videla, R., López-Cortés, F., Rossel, S., & Ibacache, C. (2023). Ethical enactivism for smart and inclusive STEAM learning design. Heliyon, 9(9), e19205. https://doi.org/10.1016/j.heliyon.2023.e19205
Aguilera, R. C., Mosqueda, M. A. A., Mosqueda, M. E. A., & Beltran, S. V. (2025). Artificial intelligence, Internet of Things, and blockchain in education: Towards personalized, inclusive, and sustainable learning with social impact. Fractals, 33(01), 1–11. https://doi.org/10.1142/S0218348X25500100
Bautista, A. (2021). STEAM education: Contributing evidence of validity and effectiveness. Journal for the Study of Education and Development, 44(4), 755–768. https://doi.org/10.1080/02103702.2021.1926678
Belbase, S., Mainali, B. R., Kasemsukpipat, W., Tairab, H., Gochoo, M., & Jarrah, A. (2021). At the dawn of science, technology, engineering, arts, and mathematics (STEAM) education: Prospects, priorities, processes, and problems. International Journal of Mathematical Education in Science and Technology, 53(11), 2919–2955. https://doi.org/10.1080/0020739X.2021.1922943
Budhrani, K., Ji, Y., & Lim, J. H. (2018). Unpacking conceptual elements of smart learning in the Korean scholarly discourse. Smart Learning Environments, 5, 23. https://doi.org/10.1186/s40561-018-0069-7
Costley, J., & Lange, C. (2017). The mediating effects of germane cognitive load on the relationship between instructional design and students’ future behavioral intention. The Electronic Journal of e-Learning, 15(2), 174–187. https://eric.ed.gov/?id=EJ1141882
Díaz-Parra, O., Fuentes-Penna, A., Barrera-Cámara, R. A., Trejo-Macotela, F. R., Ramos Fernández, J. C., Ruiz Vanoye, J. A., Zezzatti, A. O., & Rodríguez Flores, J. (2022). Smart education and future trends. International Journal of Combinatorial Optimization Problems and Informatics, 13(1), 65–74. https://ijcopi.org/ojs/article/view/294
Domínguez, F., & Ochoa, X. (2017). Smart objects in education: An early survey to assess opportunities and challenges. In 2017 Fourth International Conference on eDemocracy & eGovernment (ICEDEG) (pp. 216–220). IEEE. https://doi.org/10.1109/ICEDEG.2017.7962537
Ferreira, A., Lima, D. A., Oliveira, W., Bittencourt, I. I., Dermeval, D., Reimers, F., & Isotani, S. (2025). Exploring Brazilian teachers’ perceptions and a priori needs to design smart classrooms. International Journal of Artificial Intelligence in Education, 35, 914–965. https://doi.org/10.1007/s40593-024-00410-4
Ferreira, A., Oliveira, W., De Amorim Silva, R., Hamari, J., & Isotani, S. (2024). Internet of Things for smart education: A systematic literature review. In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 179–181). IEEE. https://doi.org/10.1109/ICALT61570.2024.00058
Gao, X., Li, P., Shen, J., & Sun, H. (2020). Reviewing assessment of student learning in interdisciplinary STEM education. International Journal of STEM Education, 7(1), 24. https://doi.org/10.1186/s40594-020-00225-4
Hernandez-de-Menendez, M., Escobar Díaz, C. A., & Morales-Menendez, R. (2020). Engineering education for smart 4.0 technology: A review. International Journal of Interactive Design and Manufacturing, 14, 789–803. https://doi.org/10.1007/s12008-020-00672-x
Marutschke, D. M., Kryssanov, V., Chaminda, H. T., & Brockmann, P. (2019). Smart education in an interconnected world: Virtual, collaborative, project-based courses to teach global software engineering. In V. Uskov, R. Howlett, & L. Jain (Eds.), Smart Education and e-Learning 2019 (Smart Innovation, Systems and Technologies, Vol. 144, pp. 33–52). Springer. https://doi.org/10.1007/978-981-13-8260-4_4
Reyes, V., McLay, K., Thomasse, L., Olave-Encina, K., Karimi, A., Rahman, M. T., Seneviratne, L., & Tran, T. L. N. (2021). Enacting smart pedagogy in higher education contexts: Sensemaking through collaborative biography. Technology, Knowledge and Learning, 26, 1153–1168. https://doi.org/10.1007/s10758-021-09495-5
Santana, R., Rodríguez, A., Rybarczyk, Y., Méndez, G. G., Vera, F., & Rossi, G. (2022). A study on user experience of smart glasses for higher education students. In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 179–181). IEEE. https://doi.org/10.23919/CISTI54924.2022.9820326
Shernof, D. J., Sinha, S., Bressler, D. M., & Ginsburg, L. (2017). Assessing teacher education and professional development needs for the implementation of integrated approaches to STEM education. International Journal of STEM Education, 4(1), 1–16. https://doi.org/10.1186/s40594-017-0068-1
Ţălu, Ş. (2020). New perspectives in the implementation of smart technologies in higher education. Advances in Economics, Business and Management Research, 138, 253–257. https://doi.org/10.2991/aebmr.k.200502.042
Yamao, E., & Lescano, N. L. (2020). Smart Campus as a learning platform for Industry 4.0 and IoT ready students in higher education. In Proceedings of the 2020 IEEE International Symposium on Accreditation of Engineering and Computing Education (ICACIT) (pp. 1–4). IEEE. https://doi.org/10.1109/ICACIT50253.2020.9277679
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
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