Gulnar Mussabekova

Work place: O.Zhanibekov South Kazakhstan Pedagogical University, A.Baitursynov st., 13, Shymkent, 160000, Kazakhstan

E-mail: gulnar.hanum22@mail.ru

Website: https://orcid.org/0000-0002-3727-7682

Research Interests:

Biography

Gulnar Mussabekova is a Doctor of Pedagogical Sciences and Professor of Pedagogy. She was awarded the degree of Candidate of Pedagogical Sciences in 1999 and the degree of Doctor of Pedagogical Sciences in 2011. She obtained the qualification of a Teacher of Russian Language and Literature in 1974. She is the author of more than 400 scholarly publications, including articles in international peer-reviewed journals and conference proceedings. She is a Professor of the Department of Russian Language and Literature at the South Kazakhstan Pedagogical University named after O. Zhanibekov (Shymkent, Republic of Kazakhstan). Her research interests include issues of higher education and the use of artificial intelligence in the university teaching and learning process.

Author Articles
A Pedagogical Framework for Ethical Skill Development in Higher Education within Smart Learning Environments

By Sultan Mukhamedaly Kymbat Kabekeyeva Gulnar Mussabekova Aliya Kuralbayeva Bagdat Toibekova Gulzhan Makashkulova Batyrkhan Omarov

DOI: https://doi.org/10.5815/ijmecs.2026.02.01, Pub. Date: 8 Apr. 2026

This study proposes and empirically evaluates a pedagogical framework for ethical skill development in higher education within smart learning environments. The framework conceptualizes ethical competence as a multidimensional, process-oriented construct cultivated through authentic ethical scenarios, structured reflective cycles, adaptive learning support, and competence-aligned assessment. A quasi-experimental design was implemented with 90 undergraduate participants assigned to three groups: Group A (n = 30) learned using the framework with teacher guidance, Group B (n = 30) learned using the framework without teacher involvement, and Group C (n = 30) learned under traditional instruction without the framework. Ethical competence was measured via pre-test and post-test questionnaires capturing overall ethical skills and specific dimensions including ethical awareness, moral reasoning, reflective capacity, and ethical responsibility. Statistical analyses combined gain-score comparisons and covariate-adjusted models. Results indicate that the framework-based condition (Groups A+B) achieved significantly higher overall ethical skill development than the traditional condition, supported by large practical effects. Multivariate analysis further revealed significant framework-related advantages on the combined outcomes of ethical awareness and moral reasoning, with stronger effects observed for ethical awareness. Ethical responsibility also increased substantially under the framework relative to traditional instruction. Teacher guidance demonstrated a differentiated contribution: no significant difference emerged between Groups A and B in overall ethical skill development, whereas teacher-mediated scaffolding produced a significant and large improvement in reflective capacity compared to autonomous framework-based learning. These findings suggest that smart learning environments can support scalable ethical competence formation when pedagogical design integrates adaptive ethical tasks and structured reflection, while targeted instructor scaffolding remains important for deep reflective development. The study contributes actionable guidance for embedding ethics into smart education curricula and motivates future longitudinal and multi-institutional research using behavioral measures and discipline-specific adaptations.

[...] Read more.
Other Articles