Reflective Culture and Digital Competence in Pre-Service Teacher Development: The Mediating Role of Instructional Smart Self-Efficacy

PDF (626KB), PP.104-117

Views: 0 Downloads: 0

Author(s)

Aziz Shamitdinov 1 Ardak Rysbayeva 2 Lyudmila Demchenko 3 Aliya Kuralbayeva 1,*

1. Department of Pedagogy and Psychology, Khoja Akhmet Yassawi International Kazakh-Turkish University, Sattarhanov s. 29, Turkistan, Republic of Kazakhstan

2. Department of "preschool and primary education", Aktobe Regional University named after K. Zhubanov, 34 A. Moldagulova Street, Aktobe, Republic of Kazakhstan

3. Department of Physical Education, M. Utemisov West Kazakhstan University, Uralsk, Republic of Kazakhstan

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2026.05.06

Received: 10 Feb. 2026 / Revised: 12 May 2026 / Accepted: 12 Jul. 2026 / Published: 8 Oct. 2026

Index Terms

Reflective Culture, Digital Competence, Pre-Service Teacher Development, Instructional Smart Self-Efficacy, Longitudinal Quasi-Experiment, Structural Equation Modeling.

Abstract

Teacher education requires models that connect reflective practice and digital competence with the psychological processes through which professional growth occurs. This longitudinal pre-test/post-test quasi-experiment examined whether a composite reflective-digital practice process predicted professional development and whether instructional smart self-efficacy mediated this association. The sample comprised 120 third-year pre-service teachers enrolled in a Computer Science Pedagogy program (N = 120) who completed a 15-week intervention organized across four instructional conditions. Data were collected with an expert-reviewed 19-item questionnaire using a five-point Likert scale. Confirmatory factor analysis and structural equation modeling were used to assess the measurement and structural models, and indirect effects were evaluated with 5,000 bias-corrected bootstrap resamples. Internal consistency was satisfactory across the four constructs (Cronbach’s alpha = 0.86-0.91). Reflective-digital practice was positively associated with professional outcomes (beta = 0.41, p < 0.001), whereas its path to instructional smart self-efficacy (beta = 0.12, p = 0.184) and the direct path from self-efficacy to professional outcomes (beta = 0.10, p = 0.211) were not significant. The bootstrapped indirect estimate was significant (B = 0.09, 95% CI [0.02, 0.17], p = 0.018), and the model explained 54% of the variance in professional outcomes (R² = 0.54). These findings provide preliminary empirical support for a mediated reflective-digital pathway, while the single-program sample and reliance on self-reports limit causal and population-level inference.

Cite This Paper

Aziz Shamitdinov, Ardak Rysbayeva, Lyudmila Demchenko, Aliya Kuralbayeva, "Reflective Culture and Digital Competence in Pre-Service Teacher Development: The Mediating Role of Instructional Smart Self-Efficacy", International Journal of Modern Education and Computer Science(IJMECS), Vol.18, No.5, pp. 104-117, 2026. DOI:10.5815/ijmecs.2026.05.06

Reference

[1]Reisoğlu, İ. (2022). How does digital competence training affect teachers' professional development and activities? Technology, Knowledge and Learning, 27(3), 721-748.
[2]McGarr, O. (2024). Exploring and reflecting on the influences that shape teacher professional digital competence frameworks. Teachers and Teaching, 30(4), 509-525.
[3]Almås, A. G., Bueie, A. A., & Aagaard, T. (2021). From digital competence to professional digital competence: Student teachers’ experiences of and reflections on how teacher education prepares them for working life. Nordic Journal of Comparative and International Education (NJCIE), 5(4), 70-85.
[4]Xu, C., Hania, A., & Waqas, M. (2025). Guiding the digital generation: role of principals’ leadership, ICT competence, and teacher professional competence in fostering digital citizenship among university students. Education and Information Technologies, 30(1), 1165-1189.
[5]ElSayary, A. (2023). The impact of a professional upskilling training programme on developing teachers' digital competence. Journal of Computer Assisted Learning, 39(4), 1154-1166.
[6]Singun, A. J. (2025). Unveiling the barriers to digital transformation in higher education institutions: a systematic literature review. Discover Education, 4(1), 37.
[7]Sparrow, J. (2016). Reflective practice in organizational learning, cultural self‐understanding, and community self‐strengthening. Infant Mental Health Journal, 37(6), 605-616.
[8]Lindberg, O. J., Olofsson, A. D., Fransson, G., & Hansson, A. (2017). Developing awareness of digital competence and skills through dialogue–a methodological reflection. In INTED2017 Proceedings (pp. 5679-5686). IATED.
[9]Røe, Y., Johansen, T. S., & Bruset, E. B. (2025, February). Empowering digital competence through peer-assisted learning and virtual reality in health professions education. In Frontiers in Education (Vol. 10, p. 1550396). Frontiers Media SA.
[10]Pan, F., Zhao, L., & Cao, E. Y. (2025). Revisiting factors influencing strategies for enhancing pre-service teachers’ digital competencies. Education and Information Technologies, 30(11), 15361-15397. https://doi.org/10.1007/s10639-025-13416-9
[11]Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
[12]Redecker, C. (2017). European Framework for the Digital Competence of Educators: DigCompEdu. Publications Office of the European Union. https://doi.org/10.2760/159770
[13]Schön, D. A. (1983). The Reflective Practitioner: How Professionals Think in Action. Basic Books.
[14]Korthagen, F. A. J. (2017). Inconvenient truths about teacher learning: Towards professional development 3.0. Teachers and Teaching, 23(4), 387-405. https://doi.org/10.1080/13540602.2016.1211523
[15]Chiu, T. K., Falloon, G., Song, Y., Wong, V. W., Zhao, L., & Ismailov, M. (2024). A self-determination theory approach to teacher digital competence development. Computers & Education, 214, 105017.
[16]Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., ... & Ioannou, A. (2023). Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review. Education and Information Technologies, 28(6), 6695-6726.
[17]Hargreaves, A. (2005). Educational change takes ages: Life, career and generational factors in teachers’ emotional responses to educational change. Teaching and Teacher Education, 21(8), 967-983.
[18]Stutchbury, K., Ebubedike, M., Amos, S., & Chamberlain, L. (2025). Professional development in the digital age: supporting improvements in teacher education through MOOCs. Open Learning: The Journal of Open, Distance and e-Learning, 40(1), 67-90. 
[19]Haşlaman, T., Uslu, N. A., & Mumcu, F. (2024). Development and in-depth investigation of pre-service teachers' digital competencies based on DigCompEdu: a case study. Quality & Quantity, 58(1), 961-986. https://doi.org/10.1007/s11135-023-01674-z
[20]Inamorato dos Santos, A., Chinkes, E., Carvalho, M. A., Solórzano, C. M., & Marroni, L. S. (2023). The digital competence of academics in higher education: is the glass half empty or half full? International Journal of Educational Technology in Higher Education, 20(1), 9.
[21]Erümit, A. K., & Çetin, İ. (2020). Design framework of adaptive intelligent tutoring systems. Education and Information Technologies, 25(5), 4477-4500.
[22]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), 8.
[23]Soriano-Alcantara, J. M., Guillén-Gámez, F. D., & Ruiz-Palmero, J. (2025). Exploring the educational digital landscape in the Dominican Republic: a comparative study of competencies in different stages and socio-digital environments. Journal of Computers in Education, 12(3), 829-851.
[24]Garzón-Artacho, E., Sola-Martínez, T., Romero-Rodríguez, J. M., & Gómez-García, G. (2021). Teachers' perceptions of digital competence at the lifelong learning stage. Heliyon, 7(7).
[25]Pan, X. (2020). Technology acceptance, technological self-efficacy, and attitude toward technology-based self-directed learning: Learning motivation as a mediator. Frontiers in Psychology, 11, 564294.
[26]Yoon, S. H. (2022). Gender and digital competence: Analysis of pre-service teachers’ educational needs and its implications. International Journal of Educational Research, 114, 101989.
[27]Zhu, R., Alias, B. S., Hamzah, M. I. M., & Hamid, M. R. A. (2024). A threefold examination of university digital leadership, teacher digital competency, and teacher technology behavior for digital transformation of education. International Journal of Learning, Teaching and Educational Research, 23(10), 272-289.
[28]Ma, H., & Ismail, L. (2025). Bibliometric analysis and systematic review of digital competence in education. Humanities and Social Sciences Communications, 12(1), Article 185. https://doi.org/10.1057/s41599-025-04401-1
[29]Tondeur, J., Howard, S. K., & Yang, J. (2021). One-size does not fit all: Towards an adaptive model to develop preservice teachers’ digital competencies. Computers in Human Behavior, 116, 106659.
[30]Li, H., & Tinmaz, H. (2025). Knowledge mapping of research on teachers’ digital competence in China: a bibliometric analysis using CiteSpace. Journal of Computers in Education, 12(1), 315-338.
[31]Tondeur, J., Howard, S., Van Zanten, M., Gorissen, P., Van der Neut, I., Uerz, D., & Kral, M. (2023). The HeDiCom framework: Higher Education teachers’ digital competencies for the future. Educational Technology Research and Development, 71(1), 33-53.
[32]Antonietti, C., Cattaneo, A., & Amenduni, F. (2022). Can teachers’ digital competence influence technology acceptance in vocational education? Computers in Human Behavior, 132, 107266.
[33]Stevens, C. (2025). Teachers and teaching: pedagogy, digital skills and professional development. Open Learning: The Journal of Open, Distance and e-Learning, 40(1), 1-3.
[34]Arcinas, M. M., Meenakshi, M., Bahalkar, P. S., Bhaturkar, D., Lalar, S., Rane, K. P., ... & Raghuvanshi, A. (2025). An efficient course recommendation system for higher education students using machine learning techniques. Bulletin of Electrical Engineering and Informatics, 14(2), 1468-1475.
[35]Leoste, J., Lavicza, Z., Fenyvesi, K., Tuul, M., & Õun, T. (2022, May). Enhancing digital skills of early childhood teachers through online science, technology, engineering, art, math training programs in Estonia. In Frontiers in Education (Vol. 7, p. 894142). Frontiers Media SA.
[36]Brandão, A., Pedro, L., & Zagalo, N. (2024). Teacher Professional Development for a Future with Generative Artificial Intelligence: An Integrative Literature Review. Digital Education Review, 45, 151-157.
[37]Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137-161.
[38]Kline, R. B. (2023). Principles and Practice of Structural Equation Modeling (5th ed.). Guilford Press.
[39]Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3rd ed.). Guilford Press.
[40]Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
[41]Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879
[42]Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36. https://doi.org/10.18637/jss.v048.i02