Personalized Learning for Students: Results of an Empirical Study

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Abstract

The article presents the results of an empirical study devoted to the study of students' perception of personalized educational systems in digital educational environments. The main focus is on how students assess the usefulness of various recommendations and their impact on the learning process. It was found that the majority of respondents consider personalized systems useful for improving the quality of learning. The study also identified key issues that may hinder the successful implementation of personalized educational systems. The article concludes that such systems have significant potential for improving educational outcomes, adapting the educational process to the individual needs of students, and increasing motivation for learning in the context of digitalization of education.

General Information

Keywords: personalized learning, digital educational environment, artificial intelligence, recommendations, educational technologies

Publication rubric: Digital Transformation and Online Education: Technologies, Tools & Models

Article type: theses

For citation: Kazantseva O.G. Personalized Learning for Students: Results of an Empirical Study. Digital Humanities and Technology in Education (DHTE 2024): Collection of Articles of the V International Scientific and Practical Conference. November 14-15, 2024 / V.V. Rubtsov, M.G. Sorokova, N.P. Radchikova (Eds). Moscow: Publishing house MSUPE, 2024., pp. 116–126.

Information About the Authors

Olesya G. Kazantseva, graduate student, Mari State University, Yoshkar-Ola, Russia, ORCID: https://orcid.org/0000-0002-2666-1005, e-mail: olesya_popova10@mail.ru

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