A unified decision-making framework for LLM selection: bridging industrial and educational applications

Balyk, Anatolii (orcid.org/0009-0005-5031-6059) and Oleksiuk, Vasyl (orcid.org/0000-0003-2206-8447) (2025) A unified decision-making framework for LLM selection: bridging industrial and educational applications . Scientific Publishing House of the University of Bielsko-Biała, Bielsko-Biała, Poland, pp. 171-178. ISBN 978-83-67652-52-0

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Abstract

The integration of Large Language Models (LLMs) into professional fields requires a new generation of specialists capable of making informed engineering decisions about their selection and application. This paper proposes a unified decision-making framework designed to bridge the gap between industrial system evaluation and professional competency development in informatics teacher education. The framework’s core is a quantitative multi-criteria model for assessing LLMs based on performance, cost, privacy, and customizability. We demonstrate its dual applicability through two distinct use cases. The first, in industrial predictive maintenance, shows how the framework guides the selection of an optimal open-source LLM for a mission-critical task. The second, in teacher training, illustrates how the same framework is used as a pedagogical tool to develop systems thinking and AI literacy. The discussion highlights the synergy created by this unified approach, fostering a direct knowledge transfer pipeline between industry needs and educational outcomes.

Item Type:	Book
Keywords:	large language models; multi-criteria decision-making; engineering education; teacher training; knowledge transfer; unified framework; AI literacy; ethical AI.
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 > 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 > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.09 Organization of instruction Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems
Depositing User:	проф. Василь Петрович Олексюк
Date Deposited:	25 Jun 2026 09:31
Last Modified:	25 Jun 2026 09:31
URI:	https://lib.iitta.gov.ua/id/eprint/749715

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