AI-assisted PBL-CBL combined teaching model integrating pre-class preparation, in-class simulation, and post-class consolidation phases¶
Design · All designs
Evidence · 4 claims (4 for) · 1 study (1 causal),q3· 1 of 1 report an effect size · 4 claims rest on one study
Description¶
The article describes a teaching model that "combines AI-assisted PBL with CBL," structured across three phases: pre-class preparation with AI-supported preview tasks, in-class implementation where "teacher-verified simulated patients are generated based on PHN cases" and students conduct simulated diagnosis and treatment in groups with AI evaluation, and post-class summary where groups present learning outcomes reviewed by teachers. The model integrates problem-centered inquiry (PBL) with real-case linkage of theory to practice (CBL), using AI to overcome constraints of time, place, and resources in traditional teaching.
Design Implications¶
Context¶
Requirements¶
- Requires an AI platform with intelligent Q&A and AI agent modules capable of generating simulated patients and evaluating treatment plans
- Requires teacher guidance and correction of biases in clinical reasoning during in-class discussion
- Requires distribution of learning materials and core questions before class
Constraints¶
- The single-center RCT tested the model over four weeks solely under simulated patient conditions, lacking the complexity found in real-life environments; the short duration failed to reflect sustained effects.
Target Learners¶
- Medical interns in standardized clinical teaching
Learning Goals¶
- Clinical reasoning ability
- Integration of theoretical knowledge into clinical decision-making
- Clinical skills in diagnosis and treatment planning
Claims¶
- Ai Pbl Cbl Improves Theoretical Examination Scores [+M]
- Ai Pbl Cbl Improves Clinical Skill Examination Scores [+M]
- AI-assisted PBL-CBL combined teaching yields higher Mini-CEX scores than lecture-based teaching in interviewing, physical examination, clinical judgment and communication, with no statistically significant difference in humanistic qualities/professionalism or organization/efficiency [+M]
- Ai Pbl Cbl Increases Teaching Satisfaction [+M]
Related Designs¶
Examples¶
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Key Sources¶
- Yang, F., Wang, J., & He, L. (2026). Application of AI-assisted PBL-CBL combined teaching in the diagnosis and treatment of post-herpetic neuralgia: a randomised controlled trial. BMC Medical Education, 26(1), 1149. https://doi.org/10.1186/s12909-026-09489-w https://doi.org/10.1186/s12909-026-09489-w
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
ai-assisted-pbl-cbl-combined-teaching-model |
title |
AI-assisted PBL-CBL combined teaching model integrating pre-class preparation, in-class simulation, and post-class consolidation phases |
description |
The article describes a teaching model that "combines AI-assisted PBL with CBL," structured across three phases: pre-class preparation with AI-supported preview tasks, in-class implementation where "teacher-verified s... |
status |
review |
generated |
by process:settle-candidates on 2026-11-04 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — fang-2026 |
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