A quasi-experimental study on self-directed learning readiness in STEAM-Enhanced digital environments
Keywords:
self-directed professional learning, future teachers, innovative environments in higher education, integrated Internet technologies, digitalization.Abstract
The article investigates the development of pre-service teachers’ readiness for self-directed professional learning in an innovative digital higher education environment. The study focuses on the implementation of pedagogical conditions that support autonomous learning through integrated Internet technologies, digitalization of the educational process, and the creation of a STEAM-oriented learning environment. A quasi-experimental research design with pre-test and post-test measurements was applied to evaluate the effectiveness of the proposed pedagogical intervention. The study involved 162 pre-service teachers from pedagogical universities in Ukraine, including 82 students in the experimental group and 80 in the control group. Readiness for self-directed professional learning was assessed across three components: motivational-value, cognitive-operational, and activity-reflective. Statistical analysis was conducted using descriptive statistics and the Pearson chi-square (χ²) test to determine the significance of differences between groups. The post-test results demonstrated a substantial improvement in the experimental group after the implementation of the pedagogical model. The proportion of students with a high level of readiness increased from 7.1% to 38.2% (an improvement of 31.1 percentage points), while the proportion with a low level decreased from 48.2% to 8.9%. In contrast, the control group showed only minor changes. The findings confirm the effectiveness of the proposed pedagogical conditions in enhancing students’ readiness for self-directed professional learning in digital higher education environments.
References
Alanoglu, M., Karabatak, S., & Yang, H. (2026). Understanding university students’ self-directed online learning in the context of emergency remote teaching: The role of online learning readiness and digital literacy. Journal of Computing in Higher Education, 38, 651–677. https://doi.org/10.1007/s12528-025-09458-0
Blanco-García, C. E. (2021). El staff de prácticas profesionales en Trabajo Social: espacio de fomento del aprendizaje autodirigido. Un estudio de caso en la Universidad Católica Luis Amigó, Colombia. Prospectiva. Revista De Trabajo Social E Intervención Social, 32, 259–274. https://doi.org/10.25100/prts.v0i32.10750
Çamur, H., & Gogus, A. (2025). Examining the relationship between school principals’ self-directed learning readiness and competency-based job performance perceptions. Research in Educational Administration and Leadership, 10(1), 133–185. https://doi.org/10.30828/real.1511119
Cardona-Acevedo, S., Agudelo-Ceballos, E., Cumpa Vásquez, J. T., Martínez Rojas, E., Valencia-Arias, A., Jiménez García, J. A., & Benjumea-Arias, M. L. (2025). E-learning technologies at the secondary education level: literature review. Frontiers in Education, 10, 1539763. https://doi.org/10.3389/feduc.2025.1539763
Cerda, C., León, M., Saiz, J. L., & Villegas, L. (2022). Análisis factorial confirmatorio de una escala de disposición al aprendizaje autodirigido en estudiantes de pedagogía chilenos. Universitas Psychologica, 20, 1–12. https://doi.org/10.11144/Javeriana.upsy20.afce
Díaz Porras, J. A. (2025). Aula invertida para el aprendizaje de ecuaciones de primer grado en el estudiantado de undécimo año. Revista Educación, 49(1), 1–24. https://doi.org/10.15517/revedu.v49i1.61026
Fernández Nistal, M. T., Mora Soto, J. K., & Ponce Zaragoza, F. A. (2019). La validez estructural de los modelos de Holland y Gati sobre los intereses vocacionales RIASEC en estudiantes mexicanos. Electronic Journal of Research in Education Psychology, 17(49), 707–730. https://doi.org/10.25115/ejrep.v17i49.2634
García-Martínez, J. A., & Fallas-Vargas, M. A. (2022). Aprendizaje autodirigido y entornos personales de aprendizaje de estudiantes universitarios de Costa Rica. EDUCAR, 58(2), 373–387. https://doi.org/10.5565/rev/educar.1520
Jiang, L., Kam, H., & Ferguson, D. (2024). Facilitating self-directed language learning during the pandemic through digital multimodal composing: A tale of two Hong Kong primary English teachers. Educational Technology & Society, 27(3), 253–267. https://doi.org/10.30191/ETS.202407_27(3).SP04
Morris, T. H., & Rohs, M. (2023). The potential for digital technology to support self-directed learning in formal education of children: a scoping review. Interactive Learning Environments, 31(4), 1974–1987. https://doi.org/10.1080/10494820.2020.1870501
Navas Bonilla, C. d. R., Viñan Carrasco, L. M., Gaibor Pupiales, J. C., & Murillo Noriega, D. E. (2025). The future of education: a systematic literature review of self-directed learning with AI. Future Internet, 17(8), 366. https://doi.org/10.3390/fi17080366
Rini, R., Mujiyati Sukamto, I., & Hariri, H. (2022). The effect of self-directed learning on students' digital literacy levels in online learning. International Journal of Instruction, 15(3), 329–344. https://doi.org/10.29333/iji.2022.15318a
Sriwisathiyakun, K. (2023). Utilizing design thinking to create digital self-directed learning environment for enhancing digital literacy in Thai higher education. Journal of Information Technology Education: Innovations in Practice, 22, 201–214. https://doi.org/10.28945/5184
Temiaková, D., & Pavlov, I. (2026). Exploring teachers’ self-directed learning: Frequency, application, and professional experience differences. International Journal of Instruction, 19(1), 671–686. https://doi.org/10.29333/iji.2026.19134a
Zambrano, R., J., Chumaña, J., Jácome, S., & Cuadros, A. (2022). Perfil autodirigido y procrastinación en estudiantes de educación en línea. EDUCAR, 58(2), 443–458. https://doi.org/10.5565/rev/educar.1507
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Sofiya Chovriy, Kristina Tambovska, Yuliia Barulina, Iryna Shevchuk, Tetiana Tyulpa

This work is licensed under a Creative Commons Attribution 4.0 International License.












