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AI-Generated Versus Human Feedback in Preclinical Restorative Dentistry

NCT07682116 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 140

Last updated 2026-07-02

No results posted yet for this study

Summary

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.

Conditions

  • Preclinical Dental Education

Interventions

BEHAVIORAL

Artificial Intelligence-Generated Feedback

Participants received formative feedback generated by an artificial intelligence chatbot during preclinical restorative dentistry training. Feedback was based on predefined evaluation criteria and was provided to support practical skill development and learning.

BEHAVIORAL

Human Instructor Feedback

Participants received formative feedback from a faculty instructor during preclinical restorative dentistry training. Feedback was provided according to predefined evaluation criteria.

Sponsors & Collaborators

  • Seda Nur Karakaş

    lead OTHER

Study Design

Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-03-13
Primary Completion
2026-03-13
Completion
2026-03-31

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07682116 on ClinicalTrials.gov