Theoretical foundations and practical approaches to teacher preparation for the use of artificial intelligence in STEM education: international and Ukrainian experience

- Барладим, В.М. (orcid.org/0000-0002-5564-671X), Бруяка, А.В. (orcid.org/0009-0007-3826-2988), Коваленко, В.В. (orcid.org/0000-0002-4681-5606), Тукало, С.М. (orcid.org/0000-0002-6268-1185) and Шишкіна, М.П. (orcid.org/0000-0001-5569-2700) (2026) Theoretical foundations and practical approaches to teacher preparation for the use of artificial intelligence in STEM education: international and Ukrainian experience Наукові записки. Серія: Педагогічні науки (222). pp. 196-202. ISSN 2415-7988

Text Стаття_Барладим, Бруяка, Коваленко, Тукало, Шишкіна.pdf - Published Version Download (841kB)

Abstract

The article substantiates the theoretical foundations for developing teachers’ competence in the use of artificial intelligence (AI) in STEM education, analyzes international and Ukrainian experience in teacher training, identifies key components of the relevant competence, and defines ways to improve teachers’ professional preparation in this field. The authors substantiate the relevance of this issue, which is driven by the rapid spread of AI tools and the need to reconsider the professional role of a teacher within the “teacher→AI→student” interaction model. It is emphasized that the effective integration of AI into STEM fields is impossible without well-developed knowledge, skills, and ethical guidelines that enable teachers to ensure safe, effective, and pedagogically sound use of intelligent services in the educational process. The paper summarizes contemporary international and national approaches to structuring teacher competence in AI, including an analysis of UNESCO’s global “AI Competency Framework for Teachers” (2024), as well as the models AI Literacy, AI-TPACK, Intelligent-TPACK, teacher AI readiness concepts, and professional competence frameworks in the field of intelligent technologies. Various approaches are described, converging on five key components of teachers’ AI-related competence: cognitive (understanding the principles of AI operation), operational (ability to apply AI tools in teaching), ethical (awareness of risks, bias, and data security requirements), evaluative (critical analysis of AI outputs), and developmental (commitment to continuous professional growth). The article analyzes findings from Ukrainian and international empirical studies, which reveal both a strong interest among STEM teachers in using AI and the presence of significant barriers, including a shortage of methodological materials, a lack of practical experience, and the need for targeted professional development. Examples of effective educational programs, courses, and training sessions for teachers are reviewed, demonstrating the positive impact of structured instruction on teachers’ confidence and readiness to integrate generative and analytical AI models into teaching practices.

Item Type:	Article
Keywords:	STEM education, teachers, teacher competence, AI, professional development
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 > 004.5 Human-computer interaction. Man-machine interface. User interface. User environment 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 > 373 Kinds of school providing general education Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 5 Мathematics. natural sciences
Divisions:	Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User:	п.н.с. Валентина Володимирівна Коваленко
Date Deposited:	11 Mar 2026 11:47
Last Modified:	11 Mar 2026 11:47
URI:	https://lib.iitta.gov.ua/id/eprint/748607

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