Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

Research on the Application of Virtual Simulation Teaching Based on “Artificial Intelligence” Big Data

Authors
Shu Tang1, Le Chen2, Xubo Dai3, *
1School of Basic Medicine, Shaoyang University, 18 Baoqing West Road, Shaoyang, China
2The Second Affiliated Hospital of Shaoyang University, 18 Baoqing West Road, Shaoyang, China
3The Second Affiliated Hospital of Shaoyang University, 18 Baoqing West Road, Shaoyang, China
*Corresponding author. Email: daixubo0905@163.com
Corresponding Author
Xubo Dai
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_94How to use a DOI?
Keywords
Virtual simulation teaching; Traditional Teaching; “Artificial Intelligence” Big Data; Evaluation; Medical experiments
Abstract

This paper aims to explore the application effect of the virtual simulation teaching mode based on the background of “Artificial Intelligence” big data in medicine experiment class. Students from Class 1–14 of clinical medicine major in 2018 were the subjects of the survey. The 208 students with odd class numbers adopting the traditional teaching method were as the control group; the 215 students with even class numbers taking the virtual simulation teaching method were as the experimental group. Using SPSS software, the differences between the two groups of students were compared through questionnaires and experimental reports. The experimental report scores of the virtual simulation group were significantly better than those of the traditional teaching group. The learning difficulty, classroom activity, interest stimulation, ability to solve and analyze problems, knowledge updating ability, and the ability to integrate theory with practice in the virtual simulation group were significantly higher than those in the traditional teaching group, but the improvement in cooperation ability in the virtual simulation group is lower than that of the traditional teaching group. Combining the advantages of virtual simulation experiment and traditional experiment teaching can improve the quality of experiment teaching.

Copyright
© 2023 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.

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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_94How to use a DOI?
Copyright
© 2023 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  - Shu Tang
AU  - Le Chen
AU  - Xubo Dai
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Application of Virtual Simulation Teaching Based on “Artificial Intelligence” Big Data
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 622
EP  - 626
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_94
DO  - 10.2991/978-94-6463-040-4_94
ID  - Tang2022
ER  -