Dietetic Student Education
Conditions
Keywords
Artificial Intelligence, Education
Brief summary
In recent years, the application of Artificial Intelligence (AI) in the medical field has rapidly expanded, becoming a valuable tool in healthcare training. Studies have shown that AI-based communication education modules can improve communication skills among medical students. Communication skills are also critical in dietitian training.
Interventions
BEHAVIORALAI-Assisted Nutrition Education Program
Participants in the intervention group received a single-session, one-time nutrition education delivered via an AI-based chatbot, administered between the pre-test and post-test assessments. The chatbot provided personalized dietary guidance and nutrition-related information based on participant input. The control group received no intervention during the same period. This design allows comparison of changes in nutrition-related outcomes between the AI chatbot intervention group and the no-intervention control group across the pre- and post-test time points.
Sponsors
Fu Jen Catholic University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Junior and senior students in nutrition science.
Exclusion criteria
* Those who have not taken nutrition assessment courses.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Scores of Objective Structured Clinical Examination (OSCE). | Attent Objective Structured Clinical Examination about 1 hour, and knowledge test about 30 minutes. |
Countries
Taiwan
Outcome results
None listed