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http://ds.knu.edu.ua/jspui/handle/123456789/9319| Назва: | Core components of the theoretical model for integrating artificial intelligence into educational research |
| Автори: | Spirin, Oleh Oleksiuk, Vasyl Osadchyi, Viacheslav Vakaliuk, Tetiana Semerikov, Serhiy |
| Ключові слова: | artificial intelligence theoretical model modelling educational research conceptualisation large language models |
| Дата публікації: | 30-чер-2026 |
| Бібліографічний опис: | Core components of the theoretical model for integrating artificial intelligence into educational research / Oleh Spirin, Vasyl Oleksiuk, Viacheslav Osadchyi, Tetiana Vakaliuk, Serhiy Semerikov // Information Technologies and Learning Tools. – Vol. 113. – Iss. 3. – P. 211-238. – DOI : https://doi.org/10.33407/itlt.v113i3.6707 |
| Короткий огляд (реферат): | 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. |
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Accessed: Apr. 22, 2026. (in English) |
| URI (Уніфікований ідентифікатор ресурсу): | https://doi.org/10.33407/itlt.v113i3.6707 http://ds.knu.edu.ua/jspui/handle/123456789/9319 |
| ISSN: | 2076-8184 |
| Розташовується у зібраннях: | Кафедра професійної та соціально-гуманітарної освіти |
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