Modeling a personalized educational system based on Semantic Web technologies

- Полторацький, Максим (orcid.org/0000-0001-9861-4438) (2025) Modeling a personalized educational system based on Semantic Web technologies Information Technologies and Learning Tools, 6 (110). pp. 254-270. ISSN 2076-8184

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Abstract

The article analyzes the principles of building personalized systems using Semantic Web technology, and presents the experience of using this technology to create modern systems that support personalized learning standards. In the course of the work, an educational RDF model was developed using the Notation 3 language. The model presented in the article represents not only the issue of personalized education, but also takes into account the concept of Skills-Based Model, which focuses specifically on the skills that a student acquires in the learning process, as well as the further expression of learning outcomes in the form of certificates confirming the acquired skills and the level of their mastery. It is also worth noting that the model also takes into account important issues of management, copyright for educational objects used in the learning process. The model includes the principles of using recommendations for educational materials by establishing properties between the educational course and various types of educational materials. Using this approach makes it possible to lay down the principles of building intelligent recommendation systems, which makes it possible to recommend to the student not only educational courses, but also materials that are needed to study a particular course. In addition to the model, the article describes the principles of building a course recommendation system based on semantic data using the N3 Logic Rules logical inference language. As part of this experiment, the experience of using N3 to build a modern personalized course recommendation system based on the student's individual and career preferences was described. The model and course recommendation system proposed in the article can be applied both to university LMS distance learning and to commercial MOOC systems. The implementation of systems that support the paradigm of personalized education can qualitatively affect the current state of education. The use of Semantic Web technologies will provide flexible approaches to learning, allowing students to receive educational services according to their individual needs and career preferences.

Item Type:	Article
Keywords:	personalized education; educational models; Semantic Web; Notation3; N3 Logic Rules
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 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 > 004.7 Computer communication. Computer networks 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
Divisions:	Institute for Digitalisation of Education > Generic resouse
Depositing User:	Алла 1 Алла Почтарьова
Date Deposited:	27 Feb 2026 13:26
Last Modified:	27 Feb 2026 13:26
URI:	https://lib.iitta.gov.ua/id/eprint/748490

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