Methodological approaches to the classification and selection of artificial intelligence services in the teaching of natural science and mathematics subjects

- Коваленко, В.В. (orcid.org/0000-0002-4681-5606) and Вараксіна, Наталія Володимирівна (orcid.org/0000-0002-0333-5186) (2025) Methodological approaches to the classification and selection of artificial intelligence services in the teaching of natural science and mathematics subjects «Перспективи та інновації науки (Серія «Педагогіка», Серія «Психологія», Серія «Медицина»)», 12 (58). pp. 926-936. ISSN 2786-4952

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Abstract

The article addresses the problem of methodologically grounded integration of artificial intelligence (AI) services into the teaching of natural science and mathematics subjects in general secondary education institutions under conditions of rapid digitalization and the widespread adoption of generative AI services after 2023. The relevance of the study is determined, on the one hand, by the high educational potential of AI for data analysis, modeling, inquiry-based and STEM-oriented learning, and, on the other hand, by the risks of improper use of AI services by students, teachers’ difficulties in selecting high-quality services, the shortage of methodological support materials, and threats to academic integrity. The paper substantiates methodological approaches to the classification and selection of AI services in the teaching of natural science and mathematics disciplines. In particular, an analytical and integrative approach to reviewing scholarly and regulatory-methodological sources was employed, which enabled the systematization of existing methods and the specification of pedagogical requirements for AI services. A classification of AI services is proposed based on the participants in the educational process (institutional leadership, teaching staff, and learners), as well as by the level of universality (general-purpose and specialized services), which is particularly significant for the natural sciences and mathematics domains. Groups of services are identified by functional purpose (generative models and chatbots; data analysis and visualization services; multimedia content creation tools; open science services and platforms such as EOSC), and their didactic capabilities for different lesson stages and learning research activities are demonstrated. A system of criteria for selecting AI services is substantiated, including didactic criteria (alignment with curricula, goals, and competency-based learning outcomes), technological criteria (accessibility, Ukrainian-language support, stability, mobility), ethical and legal criteria (data protection, integrity), and psychological-pedagogical criteria (impact on motivation, critical thinking, and learner autonomy).

Item Type:	Article
Keywords:	AI services, EOSC, natural science and mathematics subjects, learning, teacher, students
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 > 373 Kinds of school providing general education Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 5 Мathematics. natural sciences
Divisions:	V. Sukhomlynskyi State Scientific and Pedagogical Library of Ukraine > Department of Digital Technologies and Computer Support
Depositing User:	п.н.с. Валентина Володимирівна Коваленко
Date Deposited:	13 Jan 2026 18:24
Last Modified:	13 Jan 2026 18:24
URI:	https://lib.iitta.gov.ua/id/eprint/747841

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