Core components of the theoretical model for integrating artificial intelligence into scientific research in education

- Спірін, О.М. (orcid.org/0000-0002-9594-6602), Олексюк, Василь Петрович (orcid.org/0000-0003-2206-8447), Осадчий, В. В. (orcid.org/0000-0001-5659-4774), Вакалюк, Тетяна Анатоліївна (orcid.org/0000-0001-6825-4697) and Семеріков, С.О. (orcid.org/0000-0003-0789-0272) (2026) Core components of the theoretical model for integrating artificial intelligence into scientific research in education Інформаційні технології і засоби навчання, 3 (113). ISSN 2076-8184 (Submitted)

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Abstract

The article substantiates a model for integrating artificial intelligence into scientific research in education as a conceptual and categorical basis for the subsequent structural and functional modelling of this process. The central idea of the study is to understand artificial intelligence not as a substitute for the researcher, but as an analytical partner whose involvement requires clearly defined boundaries, principles, control procedures, and evaluation criteria. The modelling process is aimed at determining the logic, components, levels, verification mechanisms, and conditions for the scientifically grounded use of artificial intelligence tools in educational research. The research methodology combines the targeted selection of metadata from leading scientometric databases, deduplication, retrieval and cleaning of full texts, semantic analysis of the corpus using a large language model, and subsequent expert processing of the selected sources. These procedures ensure a systematic analysis of publications and make it possible to confirm the thematic clusters corresponding to the components of the model. As a result of the research methodology, nine interrelated components of the model were identified: the conceptual-framework, basic-conceptual, philosophical-methodological, principle-normative, process, level, verification-validation, criteria-result, and procedural-integration components. It is shown that the normative core of the model is formed by the principles of ethics, human control, confidentiality, avoidance of algorithmic bias, accountability, and transparency. The process component comprises the conduct, management, and monitoring of research. The article proposes a distinction between two level-based axes of the process component: the degree of autonomy of artificial intelligence and the scale of organisation of scientific activity. Particular emphasis is placed on the fact that the scientific acceptability of results obtained with the participation of artificial intelligence is ensured through verification, validation, source attribution, procedural audit, and transparent reporting. The proposed model can be used in the development of institutional policies, the selection of research procedures, the assessment of the maturity of artificial intelligence integration, and the enhancement of the methodological quality of educational research in the context of the digital transformation of science.

Item Type:	Article
Keywords:	artificial intelligence; theoretical model; modeling; conceptualization; educational research; large language models
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 001 Science and knowledge in general. Organization of intellectual work > 001.8 Methodology > 001.89 Organization of science and scientific work 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 Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems
Depositing User:	проф. Василь Петрович Олексюк
Date Deposited:	11 Jun 2026 17:01
Last Modified:	11 Jun 2026 17:01
URI:	https://lib.iitta.gov.ua/id/eprint/749422

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