Monographic report
Open Access

Preliminary exploration of the application of AI platforms in metaverse and future medicine courses

WANG Yuan
WANG Yuan
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
YANG Dawei
YANG Dawei
yang.dawei@zs-hospital.sh.cn
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital (Xiamen Branch), Fudan University, Xiamen 361015, Fujian, China; Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; Shanghai Respiratory Research Institution, Shanghai 200032, China; Chinese Alliance Against Lung Cancer, Shanghai 200032, China
Author information
Article notes
Funding

WANG Yuan, Master's candidate. E-mail: wangyuan011022@163.com
Corresponding author: YANG Dawei. Tel: +86-21-64041990, E-mail: yang.dawei@zs-hospital.sh.cn

Received September 29, 2024; Accepted October 17, 2024; Published 30 December 2024

Supported by National Natural Science Foundation of China (82170110), Shanghai Pujiang Talent Program (20PJ1402400), Project of Promoting Ability of Medical Science Popularization for Young Talents in Shanghai (JKKPYC-2023-A20), Project of Establishment of Shanghai Engineering Technology Research Center in 2020 (20DZ2254400), Natural Science Foundation of Fujian Province (2022D014).

Monographic report
Open Access
Preliminary exploration of the application of AI platforms in metaverse and future medicine courses
WANG Yuan
WANG Yuan
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
YANG Dawei
YANG Dawei
yang.dawei@zs-hospital.sh.cn
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital (Xiamen Branch), Fudan University, Xiamen 361015, Fujian, China; Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; Shanghai Respiratory Research Institution, Shanghai 200032, China; Chinese Alliance Against Lung Cancer, Shanghai 200032, China
Author information

WANG Yuan, Master's candidate. E-mail: wangyuan011022@163.com
Corresponding author: YANG Dawei. Tel: +86-21-64041990, E-mail: yang.dawei@zs-hospital.sh.cn

Article notes
Received September 29, 2024; Accepted October 17, 2024; Published 30 December 2024
Funding

Supported by National Natural Science Foundation of China (82170110), Shanghai Pujiang Talent Program (20PJ1402400), Project of Promoting Ability of Medical Science Popularization for Young Talents in Shanghai (JKKPYC-2023-A20), Project of Establishment of Shanghai Engineering Technology Research Center in 2020 (20DZ2254400), Natural Science Foundation of Fujian Province (2022D014).

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Abstract

Objective This study aims to explore the prevalence of AI platform usage among student groups. Methods Sixty undergraduate students enrolled in the general elective course "Metaverse and Future Medicine" at Fudan University were divided into 10 groups, each consisting of 6 members. After class, a questionnaire was administered to collect feedback on the logos generated by the groups. Results A total of 45 valid questionnaires were received. Among them, 8 groups of students used AI platforms to design logos. The keywords focused on "metaverse," "medicine," and "logo." The most popular logos were from Group 4, Group 7, and Group 3. Among the 29 students who filled out their MBTI types, there were 4 INFPs and 5 INTJs among those who used the AI platform, while the non-AI users included 3 ENFPs and 2 INTJs. Conclusion  The application of AI platforms in student learning and creation is increasingly common, though challenges remain. Future teaching could consider enhancing training on AI tools to improve students' usage skills and creative outcomes.


Key Words:metaverse; artificial intelligence; education


Metaverse in Medicine

ISSN: 3006-4236

Volume 1, Issue 4

December 2024

Pages: 1-64

PDF CITE Accesses: 4
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
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