Academic integrity in the context of educational digitalization: new challenges and assurance mechanisms

- Крамаренко, І.С. (orcid.org/0000-0002-4692-2778), Мельниченко, Т.Є. (orcid.org/0000-0002-7157-6408) and Клим, М.І. (orcid.org/0000-0001-6992-6563) (2026) Academic integrity in the context of educational digitalization: new challenges and assurance mechanisms Академічні візії (58). ISSN 2786-586X

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Abstract

The article explores the issue of ensuring academic integrity under the conditions of the digital transformation of education, driven by the rapid proliferation of generative artificial intelligence and the need to rethink traditional approaches to organizing the educational process and assessing learning outcomes. The aim of the study is to provide a theoretical substantiation of a conceptual approach to ensuring academic integrity in the context of educational digital transformation, identify contemporary challenges associated with the use of generative artificial intelligence, and outline pedagogical and institutional mechanisms for fostering a culture of responsible digital technology adoption in higher education institutions. The methodological framework of the study comprises general scientific and specialized methods: analysis, synthesis, systematization, generalization, comparative, systems, and content analysis, as well as conceptual analysis of scientific sources, legal frameworks, and international guidelines. As a result of the research, the main challenges to ensuring academic integrity during educational digital transformation have been systematized. A conceptual approach to maintaining academic integrity has been substantiated, integrating legal, methodical-didactic, technological-expert, and cultural-educational components. The scientific novelty lies in the theoretical substantiation of a conceptual framework for ensuring academic integrity in the era of educational digital transformation, which combines legal, pedagogical, technological, and cultural-educational mechanisms into a unified system supporting academic culture and the responsible use of generative artificial intelligence. The practical significance of the findings stems from their applicability to enhancing internal quality assurance systems, regulating local policies on generative AI usage, updating assessment methods for learning outcomes, and advancing the professional development of academic staff.

Item Type:	Article
Keywords:	academic integrity, digital transformation of education, generative artificial intelligence, higher education institution, quality assurance in higher education, academic culture, AI literacy
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 > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 304 Social questions. Social practice. Cultural practice. Way of life (Lebensweise) 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 > 37.02 General questions of didactics and method Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute of Pedagogics > Department of Biological, Chemical and Physical Education
Depositing User:	лаборант Аліна Хилько
Date Deposited:	08 Sep 2026 12:47
Last Modified:	08 Sep 2026 12:47
URI:	https://lib.iitta.gov.ua/id/eprint/750268

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