An approach to Augmented Reality Classification and an example of its usage for application development with VAK learning styles Markers
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004.9+519.6 (3)
Прикладные информационные (компьютерные) технологии. Методы основанные на применении компьютеров (440)
Вычислительная математика. Численный анализ (123)
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TITCHIEV, Inga, CAFTANATOV, Olesea, IAMANDI, Veronica, TALAMBUTA, Dan, CAGANOVSCHI, Daniela. An approach to Augmented Reality Classification and an example of its usage for application development with VAK learning styles Markers. In: Computer Science Journal of Moldova, 2023, vol. 31, nr. 2(92), pp. 248-271. ISSN 1561-4042. DOI: https://doi.org/10.56415/csjm.v31.13
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Computer Science Journal of Moldova
Volumul 31, Numărul 2(92) / 2023 / ISSN 1561-4042 /ISSNe 2587-4330

An approach to Augmented Reality Classification and an example of its usage for application development with VAK learning styles Markers

DOI:https://doi.org/10.56415/csjm.v31.13
CZU: 004.9+519.6

Pag. 248-271

Titchiev Inga12, Caftanatov Olesea1, Iamandi Veronica1, Talambuta Dan1, Caganovschi Daniela3
 
1 Vladimir Andrunachievici Institute of Mathematics and Computer Science, MSU,
2 "Ion Creangă" State Pedagogical University from Chisinau,
3 Moldova State University
 
 
Disponibil în IBN: 9 august 2023


Rezumat

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.

Cuvinte-cheie
AR Classification, VAK learning styles markers, personalized learning, marker-based application