Enhancing Teaching Approach with 3D Primitives in Virtual and Augmented Reality

F. M. Nuraliev, U. E. Giyosov, Yoshihiro Okada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Today, virtual reality (VR) and augmented reality (AR) are widely used in various fields, especially in computer systems, engineering and medicine. However, it remains one of the main barriers to education due to the high cost of conducting experimental research. This interactive virtual learning is very convenient and effective. Nowadays, it offers great opportunities to improve the quality of education by creating new methods and techniques. Traditionalist methods of substance introduction (fixed video, sound, contents) need personalization and communication. In addition to create a private virtual education environment which allows the students and researchers to get enough learning that is interactive and more visual, where students can learn through experimentation and interactions in the virtual world. There is a requirement for MOOC to grasp propelled learning strategies to give all the more captivating experience to its students. Finally, we create internal avatar model while using in virtual reality (VR) and augmented reality (AR) interfaces.

Original languageEnglish
Title of host publication11th World Conference “Intelligent System for Industrial Automation” (WCIS-2020)
EditorsRafik Aziz Aliev, Nodirbek Rustambekovich Yusupbekov, Janusz Kacprzyk, Witold Pedrycz, Fahreddin M. Sadikoglu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages155-163
Number of pages9
ISBN (Print)9783030680039
DOIs
Publication statusPublished - 2021
Event11th World Conference on Intelligent Systems for Industrial Automation, WCIS 2020 - Tashkent, Uzbekistan
Duration: Nov 26 2020Nov 28 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1323 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference11th World Conference on Intelligent Systems for Industrial Automation, WCIS 2020
Country/TerritoryUzbekistan
CityTashkent
Period11/26/2011/28/20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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