Case-Based Learning
Cross-source consensus on Case-Based Learning from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Risks & contraindications
Highlighted claims
- CBL is regarded as especially valuable because it bridges foundational science and clinical reasoning by engaging students with realistic patient cases. — Role of AI-supported case-based learning in medical education: a scoping review protocol
- Generating high-quality, clinically diverse CBL cases is time-consuming, resource-intensive, and typically requires multidisciplinary input. — Role of AI-supported case-based learning in medical education: a scoping review protocol
- A CBL approach produced more than a 70% increase in student engagement and self-directed learning. — Role of AI-supported case-based learning in medical education: a scoping review protocol
- CBL depends on a continuous supply of varied cases, creating a clear opportunity for generative AI. — Role of AI-supported case-based learning in medical education: a scoping review protocol
- CBL at both undergraduate and graduate levels effectively connects clinical theory with real-world practice and can improve patient care. — Role of AI-supported case-based learning in medical education: a scoping review protocol