Implementation of a Blended Online and Offline Teaching Model

NANot yet recruitingINTERVENTIONAL
Enrollment

600

Participants

Timeline

Start Date

January 1, 2026

Primary Completion Date

January 1, 2028

Study Completion Date

June 1, 2028

Conditions
Generative Artificial Intelligence
Interventions
BEHAVIORAL

A blended online and offline teaching model for internal medicine nursing practice based on generative artificial intelligence

This study will employ a convergent mixed-methods design. Participants will be convenience-sampled undergraduate nursing students from the 2024 cohort (intervention group) and the 2023 cohort (control group) at Changsha Medical University. The intervention group will experience the new blended model, which includes: 1) Optimizing a GAI-assisted clinical case library with progressive scenarios; 2) Utilizing online resources (Learning Terminal platform, virtual simulation experiments with an AI assistant); 3) Engaging in offline interactive sessions (card-based desktop deduction games and scenario simulations). The control group will receive traditional teaching methods. Quantitative data will include course scores (theoretical knowledge and practical skills) and teaching satisfaction questionnaires. Qualitative data will be collected via semi-structured interviews to explore students' experiences deeply.

All Listed Sponsors
lead

Hengxu Wang

OTHER

NCT07189611 - Implementation of a Blended Online and Offline Teaching Model | Biotech Hunter | Biotech Hunter