The Application of Artificial Intelligence in Dental Education

April 21, 2025 updated by: Siyu Huang, Hospital of Stomatology, Wuhan University

Model Construction for AI-assisted Teaching

Clinical procedural skills training is a cornerstone of preclinical education for dental students. While technological aids such as virtual reality and simulators are increasingly integrated into training, direct instructor guidance remains fundamental to skill development. Artificial intelligence（AI）， as an emerging technology, is now gradually being adopted in medical education. This medical education trial, aimed at evaluating the potential of artificial intelligence in dental education, seeks to address two key questions: 1) Can AI assistance enhance the skill performance of dental students? 2) How can AI be effectively integrated into modern medical education? Researchers will compare the effects of AI and video-based instruction on skill acquisition, assessing differences in skill performance outcomes. Participants will engage in skill acquisition using either AI or video-based instruction over a one-week period.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

192

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Hubei
      • Wuhan, Hubei, China, 430079
        • School & Hospital of Stomatology, Wuhan University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • They must have completed courses in endodontics, periodontology, prosthodontics, and oral and maxillofacial surgery; participants should have little to no prior training in the skills related to the experiment; and they must voluntarily agree to participate in the study and sign an informed consent form.

Exclusion Criteria:

  • Participants will be excluded if they meet any of the following criteria: failure in final exams of the four courses (endodontics, periodontology, prosthodontics, and oral and maxillofacial surgery); transfer to another major, suspension, or withdrawal from the current academic year; refusal to join the study or withdrawal midway; failure to meet the calibration standards in the 9-point eye-tracking calibration; use of OpenAI-related software or applications in the control group; or failure to complete the skill test.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Artificial intelligence-assisted learning group
After completing theoretical knowledge learning, students can use artificial intelligence for skills learning. AI provides steps for specific skill operations, points to note, as well as the desired performance and potential consequences of the operations.
Other: Artificial intelligence
Incorporating artificial intelligence as an aid to video-based skill learning
Other: Video
Skill learning solely through videos
Active Comparator: Control group
This group is provided with detailed videos of specific clinical procedures, recorded by experienced physicians and educators, which demonstrate proper techniques and expected outcomes.
Other: Video
Skill learning solely through videos

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Operational test scores
Time Frame: through study completion, an average 1 week
Operational testing is a common method used to measure participants' proficiency in skill operation. At the conclusion of the experiment, participants completed a 15-minute operational test in a desktop VR environment. Scores were automatically calculated by the VR system, ensuring objectivity in the results.
through study completion, an average 1 week
spatial ability
Time Frame: Baseline
Spatial ability, also known as visual-spatial ability (VSA) encompasses critical cognitive functions that enable individuals to understand, interpret, and manipulate spatially related information. The Purdue Spatial Visualization Test: Rotations (PSVT: R) - served as the measurement tool for analyzing subjects' mental rotation skills. This standardized evaluation contains 30 items that measure how effectively individuals can manipulate imagined three-dimensional figures. Each question includes an example and five choices, with only one being correct. Participants were tasked to rotate the given figure mentally in a similar manner as it was rotated in the example and to select the appropriate choice.
Baseline
cognitive load
Time Frame: through study completion, an average 1 week
Cognitive load refers to the resources required by working memory for a particular task. Eye-tracking technology has gained increasing popularity in investigating learners' visual attention distribution and cognitive load. As one of the key indicators, pupil diameter has been used to measure cognitive load during learning. In this study, we used eye-tracking devices to record the pupil diameter of participants during learning to quantify cognitive load.
through study completion, an average 1 week

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
learning motivation
Time Frame: through study completion, an average 1 week
Motivation is a motivational tendency guiding and sustaining a student's learning behavior toward specific academic goals.This study employed questionnaires to measure it. The questionnaire contains five items focusing on the motivation domain . Each item was coded according to a five-point Likert rating scale (1 = "strongly disagree", 2 = "disagree", 3 = "neutral", 4 = "agree", 5 = "strongly agree").
through study completion, an average 1 week
self-efficacy
Time Frame: through study completion, an average 1 week
Self-efficacy, a concept first developed by Bandura, refers to people's subjective judgments regarding their ability to successfully perform an achievement behavior. The questionnaire contains five items focusing on the motivation domain . Each item was coded according to a five-point Likert rating scale (1 = "strongly disagree", 2 = "disagree", 3 = "neutral", 4 = "agree", 5 = "strongly agree").
through study completion, an average 1 week

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Hospital of Stomatology, Wuhan University

Investigators

  • Study Chair: Yang Dong, PhD, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2024

Primary Completion (Actual)

November 2, 2024

Study Completion (Actual)

November 2, 2024

Study Registration Dates

First Submitted

April 14, 2025

First Submitted That Met QC Criteria

April 21, 2025

First Posted (Actual)

April 24, 2025

Study Record Updates

Last Update Posted (Actual)

April 24, 2025

Last Update Submitted That Met QC Criteria

April 21, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 2024ZG147

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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