Clinical Research Directory
Browse clinical research sites, groups, and studies.
AI-driven Multiple Interactive Teaching Model on Nuclear Medicine Students' Theoretical Knowledge and Practical Skills
Sponsor: Sichuan Provincial People's Hospital
Summary
This single-center randomized controlled trial will enroll 85 nuclear medicine undergraduate students. Participants will be randomized into two arms: a three-stage AI multi-interactive teaching intervention group (n=43) and a conventional lecture-based control group (n=42). The study is designed to compare theoretical knowledge, instructor-rated performance, student satisfaction, discussion participation, core concept comprehension, and classroom engagement between the two teaching approaches. Planned evaluations will be conducted after the teaching intervention.
Official title: The Impact of AI-driven Multiple Interactive Teaching Model on Nuclear Medicine Students' Theoretical Knowledge and Practical Skills
Key Details
Gender
All
Age Range
18 Years - 25 Years
Study Type
INTERVENTIONAL
Enrollment
85
Start Date
2025-02-01
Completion Date
2025-06-30
Last Updated
2026-08-21
Healthy Volunteers
Yes
Interventions
AI-driven multiple interactive nuclear medicine teaching
Undergraduate students receive nuclear medicine theoretical courses via AI-driven multiple interactive teaching mode.
Traditional lecture-based nuclear medicine teaching
Undergraduate students receive standard nuclear medicine theoretical courses by conventional lecture-based teaching.
Locations (1)
Hao Wang
Chengdu, Sichuan, China