| Title: |
Synergy of the fractality and formation of self-organized information structures in the physical and mathematical education: concepts, methods and applications |
| Authors: |
Seben, V; Yurkovych, N; Mar’yan, M |
| Source: |
Journal of Physics: Conference Series ; volume 3155, issue 1, page 012003 ; ISSN 1742-6588 1742-6596 |
| Publisher Information: |
IOP Publishing |
| Publication Year: |
2025 |
| Description: |
At the current stage of development of higher educational institutions, the issues of choosing educational materials and disciplines, forming their interdisciplinary architecture, synergy of interaction between students and teachers are extremely relevant. The use of digital technologies and methods of artificial intelligence, direct interconnection of sections of physics, mathematics, engineering, their superposition based on the integrity of information is also in demand. The purpose of the presented research is to search for concepts, methods, and applications of physical and mathematical aspects of learning, directly based on the principles of self-organization, fractality, and object-oriented computer modeling, which meet the urgent tasks of modern education. It is shown that fractals and fractality, their manifestation and implementation in various fields of education in superposition with the involvement of information technologies, information processing and structuring are extremely relevant and promising. Besides, the features and highlightes of the fractal approach by information structuring in teaching natural sciences reproduce the unique functioning of the natural environment and provide the opportunity to most adequately implement them in physics and mathematics education using object-oriented modeling. |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| DOI: |
10.1088/1742-6596/3155/1/012003 |
| DOI: |
10.1088/1742-6596/3155/1/012003/pdf |
| Availability: |
https://doi.org/10.1088/1742-6596/3155/1/012003; https://iopscience.iop.org/article/10.1088/1742-6596/3155/1/012003; https://iopscience.iop.org/article/10.1088/1742-6596/3155/1/012003/pdf |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| Accession Number: |
edsbas.BA8F21EB |
| Database: |
BASE |