Classification of artificial intelligence tools for educational research by the criterion of research autonomy

- Vakaliuk, Tetiana (orcid.org/0000-0001-6825-4697), Semerikov, Serhiy (orcid.org/0000-0003-0789-0272), Spirin, Oleg (orcid.org/0000-0002-9594-6602), Oleksiuk, Vasyl (orcid.org/0000-0003-2206-8447) and Osadchyi, Viacheslav (orcid.org/0000-0001-5659-4774) (2026) Classification of artificial intelligence tools for educational research by the criterion of research autonomy CTE Workshop Proceedings (13). pp. 221-235. ISSN 2833-5473

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Abstract

Existing frameworks classify AI tools for academic research by data type or functional role, leaving unanswered the question that most directly concerns research integrity: how much of the cognitive labour constitutive of scientific inquiry has been transferred to an algorithm? This paper proposes a classification built on a single criterion – research autonomy – defined as the degree to which a researcher retains control over the cognitive operations of scientific knowledge production. Five functional clusters form a spectrum from maximum to minimum research autonomy: (I) computational data analysis, where the algorithm performs only mathematically specified procedures; (II) content and discourse analysis, where it applies pre-validated category systems; (III) search and navigation, where it independently determines relevance; (IV) multimodal analysis, where it performs primary categorisation of pedagogical events; and (V) content generation and synthesis, where it generates text and proposes conceptual connections. For each cluster, the paper specifies educational research applications, characteristic methodological constraints, and ethical requirements. The framework supports three practical ends: methods reporting standards, cluster-differentiated institutional AI governance, and AI literacy curricula grounded in epistemic consequences.

Item Type:	Article
Keywords:	artificial intelligence, tool classification, educational research, research autonomy, academic integrity, research methodology
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 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
Divisions:	Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems Institute for Digitalisation of Education > Joint laboratory with SIHE “Kryvyi Rih National University” Institute for Digitalisation of Education > Joint laboratory with Zhytomyr Ivan Franko State University Institute for Digitalisation of Education > Joint laboratory with Ternopil Volodymyr Hnatiuk National Pedagogical University Institute for Digitalisation of Education > Joint Research Laboratory on Digital Transformation of Higher Education with Zhytomyr Polytechnic State University
Depositing User:	О. М. Спірін
Date Deposited:	01 May 2026 11:42
Last Modified:	01 May 2026 11:42
URI:	https://lib.iitta.gov.ua/id/eprint/749037

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