Analysis of Intelligent Virtual Platform Using Ar-Vr for Edutainment Application: A Survey Analysis

Authors

  • Rohit Kumar
  • Rachna Shah

DOI:

https://doi.org/10.71086/IAJSE/V8I3/IAJSE0817

Keywords:

Artificial Intelligence, AR, Education, COVID-19, MR, Online Learning, VR

Abstract

Distance learning has recently become commonplace during the coronavirus pandemic. Many understudies required
hardware or were not even connected to the Internet; thus they were not prepared for the current situation. Government
agencies and educational institutions had to act quickly to allow understudy to learn remotely. In addition to providing
understudies with equipment (such as computers, iPads, and goggles), they also had to grant them access to the Internet
and other essential tools. Then again, educators were attempting to embrace new advancements in the training system
to empower greater intelligence, relieve sensations of seclusion and separation, and upgrade understudy commitment.
new developments, Extended Reality (XR, also known as the Metaverse), Mixed Reality (MR), Augmented Reality
(AR), and Virtual Reality (VR), Big Data transformed surveying, learning, and picking up. Notwithstanding that, a
few instruments were executed quick, and the Coronavirus pandemic was the trigger for this cycle; a large portion of
these advancements will be utilized further, even in homeroom educating. Additionally, the document includes
research on malware detection that was suggested by a number of research specialists during the 2018–2021 period.
The main achievements of the security measures and their success metrics, both qualitative and quantitative, are
recognized in this evaluation. Additionally, this study examines the main conclusions and the rationale behind the
lessons discovered as a guide for future research.

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Published

2021-09-30

Issue

Section

Articles

How to Cite

Kumar, R., & Shah, R. (2021). Analysis of Intelligent Virtual Platform Using Ar-Vr for Edutainment Application: A Survey Analysis. International Academic Journal of Science and Engineering, 8(3), 6-9. https://doi.org/10.71086/IAJSE/V8I3/IAJSE0817