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). pp. 211-238. ISSN 2076-8184

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Abstract

This article substantiates a theoretical model for integrating artificial intelligence into educational research, which serves as a conceptual and categorical foundation for the subsequent structural and functional modelling of this process. The study is grounded in the understanding of artificial intelligence not as a substitute for the researcher but as an analytical partner whose use requires clearly defined boundaries, principles, control procedures, and evaluation criteria. The purpose of the modelling is to determine the logic, components, levels, verification mechanisms, and conditions for the scientifically grounded use of artificial intelligence tools in educational research. The methodology combines the targeted selection of metadata from leading scientific databases, deduplication, retrieval and cleaning of full texts, semantic analysis of the corpus using a large language model, and subsequent expert examination of the selected sources. These procedures enabled a systematic analysis of publications and made it possible to identify thematic clusters corresponding to the components of the model. As a result, nine interrelated components were identified: conceptual-framework, basic-conceptual, philosophical-methodological, principle-normative, process, level, verification-validation, criteria-result, and procedural-integration. The model's normative core comprises principles of ethics, human control, confidentiality, avoidance of algorithmic bias, accountability, and transparency. The process component encompasses the conduct, management, and monitoring of research. The article also distinguishes between two level-based axes: the degree of autonomy of artificial intelligence and the scale of organisation of scientific activity. Particular emphasis is placed on ensuring the scientific acceptability of results obtained with the participation of artificial intelligence through verification, validation, source attribution, procedural audit, and transparent reporting. The proposed model may be used to develop institutional policies, select research procedures, assess the maturity of artificial intelligence integration, and enhance 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:	02 Jul 2026 20:35
URI:	https://lib.iitta.gov.ua/id/eprint/749422

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