The role of generative AI tools in case-based learning and teaching evaluation of medical biochemistry
Generative AI tools have significantly enhanced learning efficiency and performance in CBL teaching of medical biochemistry, shortened task completion time and improved examination scores. Although there are limitations in the cultivation of innovative thinking and interaction between teachers and students, students' acceptance of AI has increased. Therefore, AI should serve as a supplement to traditional teaching to balance the learning efficiency and creative thinking of students.
Authors
- Kun Zhang (ORCID: https://orcid.org/0000-0002-5444-7620)
- Luo Zuo (ORCID: https://orcid.org/0000-0002-5177-8360)
- Yiran Sun (ORCID: https://orcid.org/0000-0002-5574-6518)
- Lan Wang (ORCID: https://orcid.org/0000-0002-7341-4904)
- Weiwei Zhang (ORCID: https://orcid.org/0000-0003-0598-155X)
- Yuhan Yang (ORCID: https://orcid.org/0000-0002-4177-6396)
- Quekun Peng (ORCID: https://orcid.org/0000-0002-4065-1137)
- Liang Li (ORCID: https://orcid.org/0000-0002-6694-1546)
Institutions
- Chengdu Medical College (CN)
- Chengdu Second People's Hospital (CN)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1186/s12909-025-07567-z
- Citations
- 3
- Primary Topic
- Biomedical and Engineering Education
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Chengdu Medical College
- Sichuan University