ОДИН З ПІДХОДІВ ДО СТВОРЕННЯ ПЕРСОНАЛІЗОВАНОГО ОСВІТНЬОГО СЕРЕДОВИЩA

Abstract

In the context of the rapid development of technologies, in particular AI, there is a need to transform approaches in education, personalized educational engineering. An important aspect of modern personalized engineering is the study of the possibilities of building learning trajectories for the applicant in accordance with his individual and career preferences. 

The purpose of the study is to develop a module for the architecture of a personalized educational environment and a course recommendation algorithm with the absorption of Semantic Web technologies, as well as to clarify the issues of application and place of decentralized technologies IPFS and Blockchain in modern personalized systems to ensure the digital identity of learning outcomes. 

Special attention is paid to practical aspects of implementing the course recommendation algorithm based on the SPARQL query language, as well as to expanding the educational RDF model. The role of the SHACL language is presented not only for model validation, but also in combination with decentralized technologies to ensure digital identity. 

Keywords: personalized education; personalized educational trajectories; personalized educational engineering; personalized learning systems.