This study aims to compare the effects of artificial intelligence-generated feedback and human instructor feedback on learning outcomes in preclinical restorative dentistry education. Third-year dental students performing restorative procedures on simulated teeth received either AI-generated feedback or instructor feedback during training sessions. The effects of the feedback methods were evaluated using practical performance scores, state anxiety levels, and student perception measures. The study investigates whether AI-generated feedback can serve as an effective educational support tool in preclinical dental training.
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Practical Performance Score
Timeframe: At completion of the preclinical training session (approximately 2 weeks after study initiation)