Mobile ICT and geographic information systems in the process of green space inventory for developing professional competencies of future environmental specialists

- Непошивайленко, Наталія (orcid.org/0000-0003-0759-2451), Губа, Олександр (orcid.org/0009-0004-2794-0550) and Михалевич, Софія (orcid.org/0009-0006-6606-8878) (2026) Mobile ICT and geographic information systems in the process of green space inventory for developing professional competencies of future environmental specialists Information Technologies and Learning Tools, 4 (114). pp. 202-224. ISSN 2076-8184

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Abstract

This article examines the issue of modernising the training of future ecologists through the implementation of mobile information and communication technologies (ICT) in the practical work of surveying urban green spaces. It is demonstrated that the use of specialised software enables the key task of automating field data collection to be resolved, contributes to improving the accuracy of taxonomic identification, and facilitates the creation of verified geospatial databases of tree vegetation. As part of the pedagogical experiment conducted (in Kamyanske), the specific content of the students’ activities was defined, which included photographing the morphological characteristics of trees, their automated recognition using the neural network algorithms of the Pl@ntNet application, precise georeferencing of coordinates via the Trees: Forest Monitoring Tools, and the compilation of digital maps of inventory objects. Particular attention was paid to the implementation of a multi-level verification algorithm (algorithmic, platform-based, expert and taxonomic), which enabled students to critically evaluate the results of artificial intelligence and minimise identification errors. The research methodology is based on a comprehensive approach combining open science methods and mathematical-statistical processing of results. The statistical significance of the growth in students’ professional competencies has been demonstrated (according to Wilcoxon’s T-test, p < 0,01). The results of the pilot study confirmed that the use of mobile GIS ensures an identification accuracy of 94,3 % and increases students’ motivation for professional activity to 85 %. The practical significance of this work lies in the development of a methodology that integrates technical solutions with educational objectives, preparing future specialists to work in the context of the digital transformation of environmental monitoring.

Item Type:	Article
Keywords:	inventory of green spaces; artificial intelligence; neural networks; GIS technologies; cloud services; data verification.
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.02 General questions of didactics and method Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 5 Мathematics. natural sciences > 502/504 Environmental science. Conservation of natural resources. Threats to the environment and protection against them
Divisions:	Institute for Digitalisation of Education > Generic resouse
Depositing User:	Алла 1 Алла Почтарьова
Date Deposited:	02 Nov 2026 16:55
Last Modified:	02 Nov 2026 16:55
URI:	https://lib.iitta.gov.ua/id/eprint/750681

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