Treffer: Application of Virtual Simulation in Traditional Chinese Medicine Processing Education.

Title:
Application of Virtual Simulation in Traditional Chinese Medicine Processing Education.
Source:
Journal of Information Processing Systems; Oct2025, Vol. 21 Issue 5, p494-507, 14p
Database:
Complementary Index

Weitere Informationen

Traditional Chinese medicine (TCM) processing is a highly practical discipline, and experimental teaching is an important component of the curriculum. However, the experimental teaching methods often face the limitations of seasonal time, experimental materials, and safety factors, resulting in fewer opportunities for students to practice, insufficient learning interest, and poor teaching effectiveness. Therefore, integrating virtual simulation into experimental teaching is an important means of solving the experimental teaching problem. In this paper, a virtual laboratory platform for TCM processing is built based on the principles of TCM processing, providing learners with a real experience in a TCM processing environment. Aiming at the problem of realism and immersion in virtual scenes, we present a series of key technologies, including using Maya for 3D model construction, physically based rendering technology for texture mapping, and Unity3D for complete interactive functions. The result shows that our developed platform has good performance, high immersion, and accurate interaction. Learners can roam through the scene, visualize the herb model, and complete experiments according to the prompted steps. Moreover, the virtual laboratory can deepen students' understanding of the basic theories and enhance their learning outcomes, including knowledge, skills and enjoyment. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Information Processing Systems is the property of Korea Information Processing Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)