Medical Education
Conditions
Brief summary
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.
Interventions
OTHERArtificial intelligence
Incorporating artificial intelligence as an aid to video-based skill learning
OTHERVideo
Skill learning solely through videos
Sponsors
Hospital of Stomatology, Wuhan University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
DOUBLE (Investigator, Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Operational test scores | 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. |
| spatial ability | 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. |
| cognitive load | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| learning motivation | 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). |
| self-efficacy | 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). |
Countries
China
Outcome results
None listed