Encyclopedic web resources and generative artificial intelligence: a methodological dimension

- Bykov, V. (orcid.org/0000-0002-5890-6783) and Pinchuk, O. P. (orcid.org/0000-0002-2770-0838) (2026) Encyclopedic web resources and generative artificial intelligence: a methodological dimension CTE Workshop Proceedings (13). pp. 174-188. ISSN 2833-5473

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Abstract

This article addresses a critical gap in the methodological foundations for designing, operating, and developing encyclopedic web resources in the context of generative artificial intelligence (GenAI) integration. While existing research has examined GenAI’s applications in information systems, a systematic framework for preserving epistemic quality in encyclopedic knowledge systems remains underdeveloped. We analyze the transformational impact of GenAI on the structure, functionality, and content of encyclopedic web resources as components of web-oriented automated information systems. We argue that GenAI functions not merely as an automation tool but as a factor fundamentally altering user–knowledge interaction patterns, necessitating reconceptualization of encyclopedic resources as human–machine intelligent systems. The article examines the principal methodological risks of GenAI adoption, with particular emphasis on information reliability degradation and cognitive engagement reduction in knowledge creation processes. These risks, we contend, directly affect the epistemic quality of encyclopedic content and demand specific quality assurance mechanisms. We propose a framework for ensuring epistemic quality structured around five criteria: justification, reliability, accuracy, verifiability, and consistency. Three complementary methodological approaches are outlined: a human-centered approach delineating roles between GenAI and experts; a hybrid approach defining GenAI integration scenarios; and a multi-level quality control approach emphasizing preventive mechanisms. We highlight the limitations of traditional post hoc peer review under conditions of widespread GenAI adoption. The proposed framework, we suggest, provides methodological foundations for developing encyclopedic web resources while maintaining their scientific and educational value. However, we acknowledge that this conceptual framework requires empirical validation through implementation in specific encyclopedic platforms.

Item Type:	Article
Keywords:	web-based information systems, electronic encyclopedia, artificial intelligence, methodology, web resources, generative AI, epistemic quality
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 Digital Transformation of the NAES of Ukraine
Depositing User:	к.пед.н. Ольга Павлівна Пінчук
Date Deposited:	01 May 2026 11:47
Last Modified:	01 May 2026 11:47
URI:	https://lib.iitta.gov.ua/id/eprint/749039

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