Acta Scientific Pharmaceutical Sciences (ASPS)(ISSN: 2581-5423)

Review Article Volume 7 Issue 5

Bin Zhao, School of Science, Hubei University of Technology, Wuhan, Hubei, China.

Bin Zhao1* and Xia Jiang2

1School of Science, Hubei University of Technology, Wuhan, Hubei, China
2Hospital, Hubei University of Technology, Wuhan, Hubei, China

*Corresponding Author: Arulselvan Murugesan, Department of Pharmaceutical Analysis, AIKTC School of Pharmacy, India.

Received: April 03, 2023; Published: April 24, 2023

Abstract

Virtual simulation experiment teaching can make up for the shortcomings of traditional physical experiments, but most of the current simulation software is two-dimensional, and the teaching effect is limited. This article uses Three.js3D technology, taking the "Saxon Bowl Sinking Experiment" as an example, and breaks through the plane constraints by constructing a three-dimensional model to achieve a three-dimensional, online, cross platform, real-time and interactive virtual simulation system. The system performs three-dimensional modeling of experimental equipment and processes, achieves three-dimensional simulation, and designs four types of experiments for users to explore the relationship between variables. Supported by virtual teachers, the system fully simulates the interactive scene between teachers and students offline. Video and voice add role switching, greatly increasing interest and observability. The application practice shows that the system can greatly improve the teaching effect during COVID-19 pandemic.

 Keywords: Physical Experiments; Stereoscopic Simulation; 3D Modeling; Three.js; Saxon Bowl

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Citation

Citation: Bin Zhao and Xia Jiang. “A Three-Dimensional Model to Improve the Teaching Effect During COVID-19 Pandemic". Acta Scientific Pharmaceutical Sciences 7.5 (2023): 53-59.

Copyright

Copyright: © 2023 Bin Zhao and Xia Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Acceptance rate32%
Acceptance to publication20-30 days

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