Geoinformation modeling in the STEM education system: interdisciplinary integration and functionality of electronic support for the development of gifted youth

The article presents a research devoted to the theoretical justification and development of an innovative methodology for the interdisciplinary integration of geographic information modeling (GIS) into the educational process based on STEM principles, specifically adapted for the effective support and development of gifted youth. The current global trend towards digitalization and the strategic priority of STEM education necessitate forming integrated competencies in students, particularly those with high potential, to solve complex, real-world problems using cutting-edge technologies. The research was driven by several systemic contradictions. Firstly, the contradiction between the significant interdisciplinary and integrative potential of GIS as an ideal tool for realizing STEM education goals and the lack of developed, systemic methodologies and organizational models for its full imple mentation in interdisciplinary research. Secondly, the conflict between the high-level requirements of gifted youth for flexible, sophisticated, and individualized digital research tools, and the functional limitations of existing electronic educational platforms (LMS), which often fail to provide seamless GIS integration or accommodate the specific didactic demands of supporting advanced students. The main practical result of the research is the formation of comprehensive functional requirements for a specialized electronic platform designed for this advanced interdisciplinary activity. This platform must ensure seamless GIS integration — meaning students can perform spatial analysis (buffering, overlay, statistical queries) without leaving the educational environment. To support the high cognitive load and data complexity required by gifted students, the platform must support work with Big Data through advanced intelligent search modules. Specifically, the integration of tools utilizing mechanisms like CONFOR and Exalead is critical for efficient structural content analysis, automated creation of term trees, and dynamic categorization of vast arrays of scientific literature. This functionality accelerates the critical phase of literature review and knowledge formalization.