Artificial Intelligence-Generated Feedback Versus Human Feedback in Preclinical Restorative Dentistry: Effects on Performance, State Anxiety, and Student Perception
Artificial Intelligence-Generated Feedback Versus Human Feedback in Preclinical Restorative Dentistry: Effects on Performance, State Anxiety, and Student Perception
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.
Inclusion Criteria:
Third-year dental students enrolled in the preclinical restorative dentistry course at Cukurova University Faculty of Dentistry.
Attendance at the scheduled practical training session. Provision of written informed consent.
Exclusion Criteria:
Students who declined to participate. Students who did not complete the practical training session. Students with incomplete performance assessment or questionnaire data.