| 刊名 | Medicinal Plant |
| 作者 | Jiao MU, Jing QIN, Ruirong GUO, Mijia MEI |
| 作者单位 | Kunming Medical University Haiyuan College |
| DOI | DOI:10.19600/j.cnki.issn2152-3924.2026.04.023 |
| 年份 | 2026 |
| 刊期 | 4 |
| 页码 | 101-104 |
| 关键词 | AI, Rain Classroom, Biopharmaceutics, Pharmacokinetics, Curriculum reform |
| 摘要 | To address the challenges of Biopharmaceutics and Pharmacokinetics such as abstract theories and the difficulty of traditional teaching methods to intuitively present the dynamic behavior of drugs in the body, this paper proposes an AI-driven diversified curriculum reform model. Relying on tools such as Rain Classroom and Deepseek, the reform is carried out from four dimensions: theory, experiment, assessment, and faculty. Personalized teaching is achieved through knowledge graphs and AI learning companions. Practical skills are strengthened by introducing a pre-experiment mechanism and bilingual teaching. A diversified assessment system and an intelligent question bank have been established. A dual-qualified teacher team has been built while promoting industry-education integration. Practical feedback indicates that this model effectively lowers the learning barrier, improves students’ academic performance and job adaptability, and enhances their recognition of AI tools, thereby providing an actionable pathway for the intelligent reform of the course. |
