Work place: Department of "preschool and primary education", Aktobe Regional University named after K. Zhubanov, 34 A. Moldagulova Street, Aktobe, Republic of Kazakhstan
E-mail: ardak_rysbayeva@mail.ru
Website:
Research Interests:
Biography
Ardak Rysbayeva earned bachelor's and master's degrees from Aktobe State Pedagogical Institute and a PhD in Pedagogy and Primary Education from Abai Kazakh National Pedagogical University. She is a senior lecturer at K. Zhubanov Aktobe Regional University. Her research addresses integrated primary education, humanistic education, communication culture, and national values.
By Aziz Shamitdinov Ardak Rysbayeva Lyudmila Demchenko Aliya Kuralbayeva
DOI: https://doi.org/10.5815/ijmecs.2026.05.06, Pub. Date: 8 Oct. 2026
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.
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