Вестник ЗКУ

2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.37238/2960-1371.2960-138x.2026.102(2).34
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

. Teaching geospatial technologies with the help of artificial intelligence (GeoAI) is very important for increasing the research opportunities of students studying geography in the digital age. This socially useful service aims to strengthen students ' understanding of GeoAI concepts, analyze spatial data based on the Google Earth Engine, and collect population data using Tableau. To assess the development of the participants ' competencies, the method of practical mentoring with preliminary and final testing was used, as well as methods for evaluating small projects and assessing learning satisfaction. The results of the activity showed an increase in the competence of students in all aspects of assessment, especially in the technical skills of using the GeoAI platform and transmitting spatial information through interactive dashboards. The average final Test score increased to 82.3, which is an increase of 32 points compared to the preliminary test score of 50.3. The small project products created by the participants also showed good quality and could be used as a tool for creating a Thematic Map based on data. Students positively assessed the adequacy of the material, the clarity of the presentation and the usefulness of the tasks. Thus, this event helped to increase the level of geoai proficiency and students' readiness to conduct modern geospatial research. In the future, more intensive and sustainable programs of subsequent training are needed to strengthen the assimilation of technologies and expand their use in geographical education.