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AI-driven Multiple Interactive Teaching Model on Nuclear Medicine Students' Theoretical Knowledge and Practical Skills

NCT07778186 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 85

Last updated 2026-08-21

No results posted yet for this study

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.

Conditions

  • Healthy
  • Nuclear Medicine Undergraduate Medical Education

Interventions

BEHAVIORAL

AI-driven multiple interactive nuclear medicine teaching

Undergraduate students receive nuclear medicine theoretical courses via AI-driven multiple interactive teaching mode.

BEHAVIORAL

Traditional lecture-based nuclear medicine teaching

Undergraduate students receive standard nuclear medicine theoretical courses by conventional lecture-based teaching.

Sponsors & Collaborators

  • Sichuan Provincial People's Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
25 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-02-01
Primary Completion
2025-06-30
Completion
2025-06-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07778186 on ClinicalTrials.gov