A DIGITAL AXIOLOGICAL LEARNING ENVIRONMENT FOR PRIMARY SCHOOL: DESIGN AND PEDAGOGICAL EFFECTIVENESS OF THE MILLIYQADRIYAT.UZ PLATFORM AND THE "AKSIO-MATRIX" TECHNOLOGY

Digital transformation has opened new possibilities for conveying values in an interactive form, yet the design of a coherent digital environment for value-oriented primary education remains under-explored. This paper presents the pedagogical design and empirical evaluation of a digital axiological learning environment based on the national “milliyqadriyat.uz” platform and the author’s “AKSIO-MATRIX” technology. The environment integrates national and universal values into primary-school content through interactive scenarios, value-laden tasks and reflective tools, and is supported by a system of innovative technologies in which each task is planned within the triad “social benefit + ethical criterion + learning competence”. The effectiveness of the environment was assessed through a three-stage pedagogical experiment (diagnostic, implementation, final) using a triangulated methodology with experimental and control groups. After implementation, learners’ practical application of values increased from 38% to 63%, value-based decision-making from 40% to 67%, and activity and respect in collaborative work from 52% to 74%, while awareness of the essence of values rose from 45% to 73%. The results demonstrate that a purpose-built digital axiological environment strengthens learners’ reflective and social activity and reinforces value internalization, and they justify the wider adoption of such environments in primary education.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-08
DOI
https://doi.org/10.5281/zenodo.20599324
Primary Topic
Artificial Intelligence in Education
Type
article
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article

A DIGITAL AXIOLOGICAL LEARNING ENVIRONMENT FOR PRIMARY SCHOOL: DESIGN AND PEDAGOGICAL EFFECTIVENESS OF THE MILLIYQADRIYAT.UZ PLATFORM AND THE "AKSIO-MATRIX" TECHNOLOGY

Dilfuza Ruzikulovna Shabbazova
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

A DIGITAL AXIOLOGICAL LEARNING ENVIRONMENT FOR PRIMARY SCHOOL: DESIGN AND PEDAGOGICAL EFFECTIVENESS OF THE MILLIYQADRIYAT.UZ PLATFORM AND THE "AKSIO-MATRIX" TECHNOLOGY

Dilfuza Ruzikulovna Shabbazova
article en

Abstract

Digital transformation has opened new possibilities for conveying values in an interactive form, yet the design of a coherent digital environment for value-oriented primary education remains under-explored. This paper presents the pedagogical design and empirical evaluation of a digital axiological learning environment based on the national “milliyqadriyat.uz” platform and the author’s “AKSIO-MATRIX” technology. The environment integrates national and universal values into primary-school content through interactive scenarios, value-laden tasks and reflective tools, and is supported by a system of innovative technologies in which each task is planned within the triad “social benefit + ethical criterion + learning competence”. The effectiveness of the environment was assessed through a three-stage pedagogical experiment (diagnostic, implementation, final) using a triangulated methodology with experimental and control groups. After implementation, learners’ practical application of values increased from 38% to 63%, value-based decision-making from 40% to 67%, and activity and respect in collaborative work from 52% to 74%, while awareness of the essence of values rose from 45% to 73%. The results demonstrate that a purpose-built digital axiological environment strengthens learners’ reflective and social activity and reinforces value internalization, and they justify the wider adoption of such environments in primary education.

Zenodo (CERN European Organization for Nuclear Research)
Termez State University (UZ)
Openalex Percentile: Top 2%
Artificial Intelligence in Education
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A DIGITAL AXIOLOGICAL LEARNING ENVIRONMENT FOR PRIMARY SCHOOL: DESIGN AND PEDAGOGICAL EFFECTIVENESS OF THE MILLIYQADRIYAT.UZ PLATFORM AND THE "AKSIO-MATRIX" TECHNOLOGY — Dilfuza Ruzikulovna Shabbazova · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS