Chapter XX. Artificial Intelligence-Based Data Validation in Education

Жигалюк, А. В. (orcid.org/0009-0005-4155-8152) and Середа, Х.В. (orcid.org/0000-0002-4510-7173) (2025) Chapter XX. Artificial Intelligence-Based Data Validation in Education (1). ІЦО НАПН України, м. Київ, Україна. ISBN 978-617-8330-53-8

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Abstract

The study provides an analysis of the basic principles of data validation based on artificial intelligence in the digital educational environment. A historiographical review of foreign and domestic sources covering various aspects of the use of AI in education was carried out. It was found that the examples of digital resources and AI-based tools given in the publication allow users to critically evaluate digital educational content, identify possible fakes and manipulations, which contributes to improving the quality and reliability of educational materials. It was found that the use of machine learning algorithms can improve the quality of educational content, automate its updating and create effective knowledge assessment systems, which, in turn, increases the objectivity and accuracy of educational processes. It was found that new methods of machine learning and natural language processing open up numerous opportunities for improving digital educational resources, providing more accurate, adaptive and transparent verification of educational content. It was found that despite the existing challenges, machine learning algorithms demonstrate high efficiency in detecting inaccuracies in textbooks and automatically checking test answers. It was concluded that further improvement of models, expansion of the knowledge base and integration of human-machine interaction mechanisms will help to increase the accuracy of assessment and reduce the likelihood of erroneous conclusions, which, in turn, will improve the quality of educational content and the objectivity of knowledge testing. The prospects for further use of artificial intelligence for data validation in education are identified.

Item Type:	Book
Additional Information:	Жигалюк Ангеліна, Середа Христина. Розділ ХХ. Валідація даних на основі штучного інтелекту в освіті. Штучний інтелект в освіті. Частина 1 : монографія / [авт. колектив]; за ред. Яцишин А. – Київ: ІЦО НАПН України, 2025. – С. 296-312. ISBN 978-617-8330-53-8
Keywords:	digital educational environment, digital educational resources, artificial intelligence, data validation, fakes
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications 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 > Generic resouse
Depositing User:	д.пед.н. Анна Яцишин
Date Deposited:	08 Jan 2026 09:08
Last Modified:	08 Jan 2026 11:00
URI:	https://lib.iitta.gov.ua/id/eprint/748132

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