Learning Style Identification System: Design and Data Analysis

Glazunova, Olena and Morze, Nataliia and Golub, Bella and Burov, Oleksandr and Voloshyna, Tetyana and Parhom, Oleksandra (2020) Learning Style Identification System: Design and Data Analysis ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer, 2732 (2732). pp. 793-807. ISSN 1613-0073

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Abstract

The article analyzes different approaches to design adaptive educational systems on the basis of students' learning style identification. As a result of the investigation a system to identify the student's learning style with the data analyzing module has been designed and implemented. A data analyzing module is applied for the further adaptation of digital educational content and educational methods to students' learning style. The data background for the module to analyze learning style identification system is the universal e-learn environment users’ database, the results of learning style identification due to VARK (visual, audial, read-write, kinesthetic) model or any open external information like psychotype, type of intelligence, etc. Data storage uses the concept of data warehousing to predict special methods for data model design taking into account the integrity of datasets from different sources, object orientation, consistency, data consolidation or multidimensional data architecture to simplify analytical queries. The data analyzing technologies being applied within the system are based on the information retrieval approach using SQL language; OLAP and Data Mining technologies. The results of the system implementation gave an opportunity to fix the correlation of learning styles with other personal characteristics like psychotype, gender, secondary education level, academic achievements, etc. The represented data of data analysis concerning IT major students give reason for the conclusion about the necessity to adapt digital content to multimodal and kinesthetic learning style, to apply learning methods and technologies on the basis of project tasks, group communication and collaboration.

Item Type: Article
Uncontrolled Keywords: Learning Style; Design of the Learning Style Identification System; Technologies of Data Analysis.
Subjects: Статті у наукометричних базах > Scopus
Divisions: Факультети > Факультет інформаційних технологій та управління > Кафедра комп'ютерних наук і математики
Depositing User: Наталія Вікторівна Морзе
Date Deposited: 23 Nov 2020 10:34
Last Modified: 23 Nov 2020 10:34
URI: https://elibrary.kubg.edu.ua/id/eprint/32753

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