THE RELATIONSHIP BETWEEN THE MODEL AND THE ORIGINAL
IN THE PERSONAL AND DEVELOPMENTAL EDUCATION
OF PRIMARY SCHOOL STUDENTS
Authors:
1.
Lipetsk State Pedagogical University (Lipetsk Teachers Training University)
(Department of Preschool and Primary Education, Professor)
Russian Federation
Russian Federation
2.
Lipetsk State Pedagogical University (Lipetsk Teachers Training University)
Type:
Article
Pages:
from 42
to 46
Status:
Published
Received:
30.12.2025
Accepted:
30.12.2025
Published:
30.12.2025
Subject area:
UDC 373.31
Language:
Russian
Keywords:
personal and developmental education, primary school students, relationship between
the model and the original, stages of cognitive activity, cartoon, neural networks, Shedevrum
Abstract:
The article substantiates the importance of the relationship between the model and the original in the personal and developmental education of primary school students from the perspective of the theory of knowledge; it shows the stages of primary school students' cognitive activity based on the relationship between the model and the original when creating cartoons; it describes the phases and determines the importance of using the Shedevrum neural network when creating cartoons.
The article substantiates the importance of the relationship between the model and the original in the personal and developmental education of primary school students from the perspective of the theory of knowledge; it shows the stages of primary school students' cognitive activity based on the relationship between the model and the original when creating cartoons; it describes the phases and determines the importance of using the Shedevrum neural network when creating cartoons.
Keywords:
personal and developmental education, primary school students, relationship between the model and the original, stages of cognitive activity, cartoon, neural networks, Shedevrum
personal and developmental education, primary school students, relationship between the model and the original, stages of cognitive activity, cartoon, neural networks, Shedevrum
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