Abstract
This paper presents a new approach to solving the problem of personalization of learning in a dynamic electronic environment. To make recommendations to students on choosing the most suitable online course, a semantically approach is used, based on the representation and use of knowledge about the subject area of e-learning and the characteristics of the student. Within the framework of this approach, a method of using OWL-ontology for integrating resources into an individual learning trajectory is proposed. Ontologies provide a more adequate representation of online resources and compatibility of the user request format with descriptions of education resources from different developers. The architecture of the e-learning support system for the selection of online resources for their further inclusion in the individual trajectory of student learning is defined. The recommendation system analyzes the context of the user profile to generate recommendations for the content of the training course. The system uses information from user profiles and queries to find a semantic match between the course information and the user profi of the student. The developed system is implemented as a set of personal agents and services that interact based on a knowledgebase represented as a set of interconnected ontological models. The system recommends a resource based on current requests and user characteristics regarding their profile. In the process, the system dynamically updates the knowledge base about the current user characteristics, thereby increasing the effectiveness of generated recommendations. Based on the recommendations received, the user can choose the most appropriate version of the composition of educational materials, taking into account their level of knowledge and their preferences.
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