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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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THE EFFECTIVENESS OF BLENDED LEARNING MODELS IN EDUCATING THE DIGITAL GENERATION IN UZBEK SECONDARY SCHOOLS: AN EMPIRICAL INVESTIGATION

Authors: Sheripbayeva, Shiyrin;

THE EFFECTIVENESS OF BLENDED LEARNING MODELS IN EDUCATING THE DIGITAL GENERATION IN UZBEK SECONDARY SCHOOLS: AN EMPIRICAL INVESTIGATION

Abstract

This mixed-methods quasi-experimental study examines the effectiveness of a structured station-rotation blended learning model implemented in 38 Uzbek general secondary schools (N = 4,126 students in grades 9–10) during the 2022–2025 academic years. Compared to traditional face-to-face instruction, the blended approach yielded large and sustained gains in mathematics (0.42σ) and English language proficiency (0.47σ), substantially narrowed the rural–urban digital skills gap, and significantly enhanced students’ intrinsic motivation, autonomy, and 21st-century competencies. Effect sizes exceed most international meta-analytic benchmarks, suggesting a pronounced “latecomer advantage” in a previously low-technology integration context. Qualitative data highlight the pivotal role of sustained teacher professional development and contextual adaptation. The findings provide robust evidence that carefully designed blended learning can serve as an accelerator for modernizing post-Soviet centralized education systems while preserving cultural and pedagogical strengths.

Keywords

blended learning, digital generation, Uzbekistan secondary education, academic achievement, digital competence, teacher professional development, station-rotation model, latecomer advantage, post-Soviet education reform, motivation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green