Clinical Research Directory
Browse clinical research sites, groups, and studies.
Hybrid Course Assessment and Evaluation
Sponsor: Research on Healthcare Performance Lab U1290
Summary
The academic training of French postgraduate students in general practice (E3CMG) is facing a challenge due to the increasing gap between the number of students and the available teaching hours. To accommodate the growing number of students, asynchronous acquisition of knowledge prior to a reduced face-to-face teaching would maintain the capacity to provide socio-constructivist teaching useful for developing problem-solving skills (i.e. thesis design and feasibility assessment). The main objective of this randomized controlled trial is to evaluate the effect of hybrid versus face-to-face socio-constructivist teaching on French E3CMG course assessment and evaluation.
Official title: Effect of Hybrid Versus Face-to-face Teaching on Course Assessment and Evaluation in Postgraduate General Practice Students: a Randomized Controlled Trial
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
170
Start Date
2024-05-14
Completion Date
2024-11-14
Last Updated
2024-05-14
Healthy Volunteers
No
Conditions
Interventions
Hybrid course on medical thesis for post graduates general practice students
Students randomised to the intervention group will log on to interactive online teaching for a maximum time of 2.5 hours, and then follow face-to-face socio-constructivist teaching in small groups (n=22 max), building on the knowledge they have acquired. The aim of this peer-to-peer face-to-face teaching is to develop problem-solving skills.
Face-to-face teaching on medical thesis for post graduates general practice students
Students randomised to the control group will be taught entirely face-to-face in small groups (n=22 max). The course duration and teaching objectives are identical to those of the intervention group. Student consent and randomization will be carried out on the morning of the course to avoid contamination and attrition bias.