AI-Assisted World Café Teaching Model Pilot Study in Clinical Pharmacology

A 2026 pilot study by Ying Guo from Kunming Medical University involving 56 first-year master's students. The study evaluates an AI-assisted teaching model's impact on knowledge acquisition and clinical decision-making in a graduate clinical pharmacology course. Results include student perception scores, pre- and post-test accuracy on depression etiology, and comparisons between AI-generated and instructor-generated assessment scores.

Use Cases

• Analyzing the effectiveness of AI-assisted collaborative teaching models based on student perception questionnaire results.
• Evaluating improvements in clinical decision-making competencies based on self-rated ability scores and knowledge test accuracy.
• Assessing the reliability of AI as a formative assessment tool based on the concordance between AI-generated and instructor-generated scores on case discussion records.

Strengths

• Multi-method assessment strategy integrating questionnaires, knowledge tests, and comparative scoring analysis.
• Results show a statistically significant median increase in post-test accuracy on depression etiology knowledge from 60.71% to 78.43%.
• Student agreement rates for the teaching model exceeded 90% across all assessed learning experience items.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is a 40.1 KB DOCX file, indicating a very limited scope focused on a single pilot study's results.
• Data reflects a specific context involving 56 students from a single university, which may limit generalizability.

Provenance

Source

Ying Guo, Kunming Medical University, via figshare.

Collection Method

Pilot study involving a structured five-stage seminar using the World Café format with AI tool support.

Time Range

Study conducted in 2026.

Freshness

Last updated 2026-04-24 05:40:25.

Geography

Kunming Medical University, China.