EDUCATIONAL LOGISTICS OPPORTUNITIES FOR COMPETITIVE SCIENTIFIC RESEARCH
The article considers the issue of the formation of educational logistics of competitive natural science research of the student. The relevance of the study is due to the increasing need for effective mechanisms to support gifted youth in the context of the rapid development of knowledge-intensive sectors of the economy. The participation of schoolchildren in natural science research competitions performs several important functions: it promotes the formation of natural science literacy, develops research competencies, helps in professional self-determination, and creates conditions for early integration into the scientific community. Special attention is paid to the possibilities of educational logistics as a tool for optimizing the process of preparing competitive works. Systematic management of resources (information, logistical, human and financial) allows you to build an effective trajectory of research activities, taking into account the individual educational needs of each student. The author substantiates that the application of the logistic approach makes it possible to rationally organize the time and substantive stages of work on the project, provide access to the necessary infrastructure (laboratories, equipment, expert support) and methodological materials. As a result of the study, it is concluded that educational logistics allows not only to optimize the process of preparing competitive works in a short time, but also significantly improves the quality of research, which ultimately contributes to the achievement of high results by students at various competitive venues. The proposed approach has significant potential for implementation in the practice of working with gifted children in the system of general and additional education.
Authors
- Е.А. Демидова (ORCID: https://orcid.org/0000-0002-7728-9805)
Publication Details
- Journal
- Educational Psychology in Polycultural Space
- Published
- 2025-01-01
- DOI
- https://doi.org/10.24888/2073-8439-2025-70-2-95-104
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00