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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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TECHNOLOGY OF MATHEMATICAL MODELING IN TEACHING NATURAL SCIENCES

Research datakeyboard_double_arrow_right Dataset 05 Feb 2026Publisher:Zenodo
Authors: Shoimova Nargiza Beknazarovna;

doi: 10.5281/zenodo.18499588 , 10.5281/zenodo.18499587

TECHNOLOGY OF MATHEMATICAL MODELING IN TEACHING NATURAL SCIENCES

Abstract

 This article highlights the theoretical foundations, didactic possibilities, and practical significance of using mathematical modeling technology in the process of teaching natural sciences. Through mathematical modeling, the development of students’ logical thinking, analytical skills, problem-solving abilities, and interdisciplinary integration is scientifically substantiated. The article also presents examples of applying mathematical modeling technology in teaching biology, physics, and chemistry.

  • BIP!
    Impact byBIP!
    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).
    		 0
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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