"METROLOGICAL CHALLENGES IN RESEARCH ON THE FORMATION OF MORAL QUALITIES IN PRIMARY SCHOOL STUDENTS: THE EXPERIENCE OF ADAPTING SHILOVA'S METHOD OF 'DIAGNOSING THE LEVEL OF UPBRINGING' TO LOCAL CONTEXTS."

This article addresses the issue of localization and adaptation of methodologies that serve as essential metrological tools for researchers studying the formation of moral qualities in children. The adaptation of metrological instruments must be carried out with careful attention to maintaining the validity and reliability of the methodology. The scientific novelty of the article lies in the methodological analysis and adaptation conducted using modern capabilities of artificial intelligence and neural networks.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17291391
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
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article

"METROLOGICAL CHALLENGES IN RESEARCH ON THE FORMATION OF MORAL QUALITIES IN PRIMARY SCHOOL STUDENTS: THE EXPERIENCE OF ADAPTING SHILOVA'S METHOD OF 'DIAGNOSING THE LEVEL OF UPBRINGING' TO LOCAL CONTEXTS."

Zenodo (CERN European Organization for Nuclear Research)
Agriculture Sustainability and Environmental Impact
article

"METROLOGICAL CHALLENGES IN RESEARCH ON THE FORMATION OF MORAL QUALITIES IN PRIMARY SCHOOL STUDENTS: THE EXPERIENCE OF ADAPTING SHILOVA'S METHOD OF 'DIAGNOSING THE LEVEL OF UPBRINGING' TO LOCAL CONTEXTS."

article en

Abstract

This article addresses the issue of localization and adaptation of methodologies that serve as essential metrological tools for researchers studying the formation of moral qualities in children. The adaptation of metrological instruments must be carried out with careful attention to maintaining the validity and reliability of the methodology. The scientific novelty of the article lies in the methodological analysis and adaptation conducted using modern capabilities of artificial intelligence and neural networks.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 40%
Agriculture Sustainability and Environmental Impact
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"METROLOGICAL CHALLENGES IN RESEARCH ON THE FORMATION OF MORAL QUALITIES IN PRIMARY SCHOOL STUDENTS: THE EXPERIENCE OF ADAPTING SHILOVA'S METHOD OF 'DIAGNOSING THE LEVEL OF UPBRINGING' TO LOCAL CONTEXTS." · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS