Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
An approach to Augmented Reality Classification and an example of its usage for application development with VAK learning styles Markers
Authors: Ţiţchiev Inga, Caftanatov Olesea, Iamandi Veronica, Tălămbuță Dan, Daniela Caganovschi
Keywords: AR Classification, VAK learning styles markers, personalized learning, marker-based application.
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Keywords: AR Classification, VAK learning styles markers, personalized learning, marker-based application.
Abstract
Augmented reality (AR) encompasses both technology and the experience it provides, making it applicable in real-world contexts. The field of education is particularly suited for utilizing AR techniques as a novel means of engaging with students. Various classifications of AR techniques exist, each offering remarkable potential for educational purposes. This paper presents an approach to classifying augmented reality based on the characteristics of different techniques. Additionally, we demonstrate the application of a specific type of AR technology in the development of an educational application. Furthermore, we emphasize the importance of designing augmented learning scenarios that align with the VAK learning styles, aiming to deliver personalized and immersive learning experiences. The integration of AR and VAK learning styles shows the potential for creating educational tools that are both engaging and effective.%\footnote{\ \ This work was supported by Intelligent Information systems for solving ill structured problems, knowledge and Big Data processing project Ref. Nr. 20.80009.5007.22}Inga Titchiev1;6, Olesea Caftanatov2,
Veronica Iamandi3, Dan Talambuta4,
Daniela Caganovschi5 1;2;3;4Vladimir Andrunachievici Institute of Mathematics
and Computer Science, SUM
5, Academiei street, Chisinau, Republic of Moldova, MD 2028
1ORCID: https://orcid.org/0000-0002-0819-0414
E-mail:
2ORCID: https://orcid.org/0000-0003-1482-9701
E-mail:
3ORCID: https://orcid.org/0000-0001-6827-1278
E-mail:
4ORCID: https://orcid.org/0009-0008-7742-8597
E-mail:
5ORCID: https://orcid.org/0009-0002-3779-5129
State University of Moldova
Alexei Mateevici 60, str
E-mail:
6 Ion Creanga State Pedagogical University of Chisinau
Veronica Iamandi3, Dan Talambuta4,
Daniela Caganovschi5 1;2;3;4Vladimir Andrunachievici Institute of Mathematics
and Computer Science, SUM
5, Academiei street, Chisinau, Republic of Moldova, MD 2028
1ORCID: https://orcid.org/0000-0002-0819-0414
E-mail:
2ORCID: https://orcid.org/0000-0003-1482-9701
E-mail:
3ORCID: https://orcid.org/0000-0001-6827-1278
E-mail:
4ORCID: https://orcid.org/0009-0008-7742-8597
E-mail:
5ORCID: https://orcid.org/0009-0002-3779-5129
State University of Moldova
Alexei Mateevici 60, str
E-mail:
6 Ion Creanga State Pedagogical University of Chisinau
DOI
https://doi.org/10.56415/csjm.v31.13Fulltext
– 0.90 Mb
Contents
- Identifying key players in a network of child exploitation websites using Principal Component Analysis
- Total Italian domatic number of graphs
- Comprehensive Performance Study of Hashing Functions
- Deep learning-based software for detecting population density of Antarctic birds
- Correcting Instruction Expression Logic Errors with GenExp: A Genetic Programming Solution
- An approach to Augmented Reality Classification and an example of its usage for application development with VAK learning styles Markers
- PN2Maude: An automatic tool to generate Maude specification for Petri net models
