Virtual Reality Physics on Emerging Smart Learning System
In Smart learning system, modeling is the main component. Many schools have spent a great deal on information technologies to encourage learning, and there is little significant evidence that it succeeded. Virtual Reality physics (VR) can be the solution for children to communicate with simulated objects in real-world conditions. Analysis of Virtual Reality physics implementations in edification is early in the process, and the consequences of increased Reality on edification have not been investigated. In this paper, Virtual Reality physics assisted game edification system (VR-GES) in Emerging VR physics learning process. VR is a computer-generated simulation where a person can interact with electronic devices, such as screen-mounted special goggles or sensor gloves, inside an artificial three-dimensional environment. This paper aims to provide practical teachers with an introduction to Emerging VR physics language edification for Virtual Reality physics. Due to their immense benefits of learning, technology is becoming increasingly popular in science and technology classrooms. The pilot research findings concerning the impact of Virtual Reality physics headsets (VR) on the affecting variables of language learners, including commitment, modeling, and independent learning, are published in this paper. The findings revealed that mobile applications using VR had improved student learning modeling. The modeling is improved by attention, satisfaction, and confidence and examines the effectiveness of VR headsets on the capacity of language learners to understand and follow instructions. The numerical results recommended VR-GES enhance the student's performance ratio (93.6%), interaction ratio (98.2%), participation ratio (97.4%), achievement ratio (96.3%), and feedback ratio (94.8%).
Authors
- Sunita Dhote (ORCID: https://orcid.org/0000-0001-9603-5416)
- Reshma Pais
- Rajas Dhote
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icercs63125.2024.10894924
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00