Використaння генерaтивного штучного iнтелекту для персонaлiзaцiї нaвчaння студентiв зaклaдiв вищої освiти

Abstract

process in higher education institutions. The study focuses on the functional capabilities of generative models in building individualized learning paths, adapting educational content to students’ knowledge levels, automating the creation of learning materials, and supporting independent learning activities. The main areas of applying generative artificial intelligence in education are identified, along with its advantages, limitations, and potential risks. The results highlight the prospects of integrating artificial intelligence technologies to improve the efficiency and individualization of learning in higher education.