Use of Semantic Web technologies for validation of educational models

- Полторацький, Максим (orcid.org/0000-0001-9861-4438) and Коннова, Ольга (orcid.org/0000-0001-5590-9527) (2025) Use of Semantic Web technologies for validation of educational models Information Technologies and Learning Tools, 2 (106). pp. 94-106. ISSN 2076-8184

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Abstract

The gap between the educational programs of higher education institutions (HEI) and the needs of the modern labor market is one of the key problems that negatively affects the employability of graduates. The mismatch between the skills that students receive in HEIs and the needs of employers complicates the employment process: graduates often have to gain additional skills outside the university, while it is more difficult for employers to find qualified specialists. One of the ways to solve this problem is the development of educational models using information and communication technologies (ICT) and their subsequent validation to identify gaps and improve curricula in accordance with the current needs of the labor market. This paper presents an approach to the validation of educational models created using semantic technologies using the SHACL (Shapes Constraint Language) and SPARQL query language. SHACL enables checking the correctness of the data model by setting constraints on the structure and properties of the relationships between elements, such as disciplines and skills. It is an effective tool for imposing declarative constraints and validating the data structure. SPARQL, in turn,provides the ability to create flexible queries to RDF graphs, allowing you to create complex tests and analyze the relationships between model components. To demonstrate the experiment, we presented a fragment of an educational model created using Semantic Web technologies. This model describes the relationships between academic disciplines and skills that are formed in students and the labor market requirements. The model was created based on a study of the Ukrainian labor market by analyzing data from job search platforms such as Work.ua, Robota.ua, and others. In this paper, we present a fragment of the educational model to demonstrate the capabilities of Semantic Web technology not only for building semantic models, but also, and above all, for their validation and verification.

Item Type:	Article
Keywords:	educational models; Semantic Web; ontologies; validation of educational models; skills gap.
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 > 004.4 Software > 004.4`2/`6 Special auxiliary numbers for software > 004.4`2 Software development tools 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 > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Generic resouse
Depositing User:	Алла 1 Алла Почтарьова
Date Deposited:	26 Jun 2025 17:50
Last Modified:	26 Jun 2025 17:50
URI:	https://lib.iitta.gov.ua/id/eprint/745803

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