Using Learning Styles for Creating and Personalizing Educational Content in Ubiquitous Learning Environments
Author(s) -
Rafael Dias Araújo,
Taffarel Brant-Ribeiro,
Hiran Ferreira,
Fabiano Dorça,
Renan G. Cattelan
Publication year - 2020
Publication title -
revista brasileira de informática na educação
Language(s) - English
Resource type - Journals
eISSN - 2317-6121
pISSN - 1414-5685
DOI - 10.5753/rbie.2020.28.0.133
Subject(s) - computer science , pace , learning styles , process (computing) , presentation (obstetrics) , multimedia , human–computer interaction , probabilistic logic , educational technology , artificial intelligence , mathematics education , psychology , geodesy , medicine , radiology , geography , operating system
The fact that people behave and learn in a different pace requires individual differences to be properly considered in the teaching/learning process. Among several cognitive theories that could be used for this purpose, a promising one is to explore the use of students’ learning styles (LSs), with several research studies indicating that their use has positive impacts on learning outcomes. At the same time, Ubiquitous Learning Environments (ULEs) have the potential to make the multimedia authoring of Learning Objects (LOs) an automated process, resulting on even larger educational content repositories and increasing the need for more adequate presentation strategies to students. This article presents an approach for creating and personalizing LOs through a probabilistic proposal of the Felder and Silverman Learning Styles Model. A prototype of the proposed model was integrated into a ubiquitous educational platform and experimented in real settings. Results indicate the existence of correlations between different types of interactions carried out by students and their respective LSs.
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