Yonghui Liu
Biographic Data
| ID | 8095535 |
|---|---|
| NAME | Yonghui Liu |
| GIVEN NAMES | Yonghui |
| FAMILY NAME | Liu |
| SIGNATURE | LIU Y |
| AFFILIATIONS | Ocean University of China |
| ORCID | 0000-0002-9646-2001 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Enhancing anti-plagiarism literacy practices among undergraduates with AI
The integration of artificial intelligence (AI) in higher education has significantly contributed to the advancement of teaching and learning. However, it has also exacerbated ethical issues, particularly concerning plagiarism. This study introduces an Anti-Plagiarism Literacy Practices (APLP) programme, which includes a customised AI tool called the Academic Writing System (AWS), to support students’ anti-plagiarism literacy practices in academi…
Rural residents’ Knowledge, Attitude, and Practice in relation to infection risk during the late stage of an epidemic
Background In the field of public health, the prevention and management of infectious diseases in rural regions have always been crucial. This study aims to analyze the factors influencing rural residents’ Knowledge, Attitude, and Practices and their correlation with infection risk during the late stage of an epidemic, with a focus on the COVID-19 case. Methods A cross-sectional study was conducted in rural regions of China’s Guangdong province, …
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Rural residents’ Knowledge, Attitude, and Practice in relation to infection risk during the late stage of an epidemic
Background In the field of public health, the prevention and management of infectious diseases in rural regions have always been crucial. This study aims to analyze the factors influencing rural residents’ Knowledge, Attitude, and Practices and their correlation with infection risk during the late stage of an epidemic, with a focus on the COVID-19 case. Methods A cross-sectional study was conducted in rural regions of China’s Guangdong province, …
Enhancing anti-plagiarism literacy practices among undergraduates with AI
The integration of artificial intelligence (AI) in higher education has significantly contributed to the advancement of teaching and learning. However, it has also exacerbated ethical issues, particularly concerning plagiarism. This study introduces an Anti-Plagiarism Literacy Practices (APLP) programme, which includes a customised AI tool called the Academic Writing System (AWS), to support students’ anti-plagiarism literacy practices in academi…
2019-20 coronavirus outbreak (1 works) · Academic integrity and plagiarism (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Betacoronavirus (1 works) · Biology (1 works) · Computer Science (1 works) · COVID-19 and Mental Health (1 works) · Cross-sectional study (1 works) · Disease (1 works) · Educational technology (1 works)