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STUDY OF THE LEVEL OF PERSONALIZATION IN MODERN TRAINING SYSTEMS
Abstract
With each passing day, consumers, particularly students, expect more intelligent and personalized services. The key to providing such services is the concept of a personalized learning. Applying appropriate personalized learning models to students is a process that is filled with many challenges. The aim of this article is to study the level of personalization in modern training systems. As a result, the main problems in modern software solutions for developing interactive learning content are considered. The main approaches for providing adaptive personalized learning are presented (based on prior knowledge; user modeling / profiling; adaptation rules; support for student diversity, etc.) and the key problems (technological and non-technological) in creating personalized interactive e-learning are systematized. The software components of the e-personalized training systems are differentiated. Personalized e-learning based on analysis of learners' prior knowledge is key to increasing the motivation of online learners and increasing the effectiveness of e-learning.
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