Adaptive learning in university students’ opinions: Cross-border research

Smyrnova-Trybulska, Eugenia and Morze, Nataliia and Varchenko-Trotsenko, Liliia (2022) Adaptive learning in university students’ opinions: Cross-border research Education and Information Technologies. ISSN 1360-2357; e 1573-7608

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Abstract

Contemporary education is often based on using e-learning courses, which have become a popular means of delivering didactic material to students. Among the main advantages mentioned is the potential possibility of creating individual ways of learning and teaching. The purpose of this article is to provide a description of the various approaches to adaptive learning, to present the comparative research results of a Polish-Ukrainian study, as well as to highlight the options offered by LMS Moodle (Modular object-oriented dynamic learning environment Learning Management System) for the implementation of adaptive learning and the possibility of taking into account the expectation of students regardless of the country. During the study, an online survey was administered to 59 students at the University of Silesia in Katowice (US), Poland and 121 students at the Borys Grinchenko Kyiv University (BGKU), Ukraine between March–June 2020. All of the students were studying online due to the pandemic caused by COVID-19. The classes were conducted in synchronous and in asynchronous modes using e-learning courses in the Moodle system, as well as MS Teams for Polish students and Google Suite for Ukrainian students. At the same time, the majority of the surveyed students declared that they lack personalization, both in terms of materials and the learning process, which was limited in terms of fulfilment and they would like to have a choice of the level of study.

Item Type: Article
Additional Information: DOI:10.1007/s10639-021-10830-7
Uncontrolled Keywords: Adaptive learning; Adaptive technologies; LMS Moodle; Students’ expectation; Comparative research
Subjects: Статті у наукометричних базах > Scopus
Статті у наукометричних базах > Web of Science
Divisions: НДЛ > НДЛ інформатизації освіти
Факультети > Факультет інформаційних технологій та управління > Кафедра комп'ютерних наук і математики
Depositing User: Лілія Варченко-Троценко
Date Deposited: 07 Feb 2022 15:12
Last Modified: 07 Feb 2022 15:12
URI: https://elibrary.kubg.edu.ua/id/eprint/40717

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