Teaching Quality Through Virtual Simulation Technology in Guangxi Vocational University of Agricultural
- DOI
- 10.2991/978-2-38476-253-8_34How to use a DOI?
- Keywords
- Virtual simulation technology; Teaching quality
- Abstract
The objectives of this research are to study the current situation of teaching quality through virtual simulation technology in Guangxi Vocational University of Agriculture, and to provide the guideline to improve teaching quality by using virtual simulation technology. The sample group was selected by random sampling. There were 312 students who had participated in virtual simulation teaching activities, 45 teachers included 37 teachers who used virtual simulation technology in their classes and 8 administrators of Guangxi Vocational University of Agriculture. The results are as follows: 1. Establishing a sound virtual simulation teaching management system; 2. Increase the quantity and variety of teaching equipment; 3. Developing virtual simulation teaching resources; 4. Strengthen the construction of the teaching staff through internal training and external recruitment channels.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Dan Wang PY - 2024 DA - 2024/05/28 TI - Teaching Quality Through Virtual Simulation Technology in Guangxi Vocational University of Agricultural BT - Proceedings of the 2024 3rd International Conference on Humanities, Wisdom Education and Service Management (HWESM 2024) PB - Atlantis Press SP - 280 EP - 285 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-253-8_34 DO - 10.2991/978-2-38476-253-8_34 ID - Wang2024 ER -