Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial
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Abstract
BACKGROUND: Clinical operative skills training is a critical component of preclinical education for dental students. Although technology-assisted instruction, such as virtual reality and simulators, is increasingly being integrated, direct guidance from instructors remains the cornerstone of skill development. ChatGPT, an advanced conversational artificial intelligence model developed by OpenAI, is gradually being used in medical education. OBJECTIVE: This study aimed to compare the effects of ChatGPT-assisted skill learning on performance, cognitive load, self-efficacy, learning motivation, and spatial ability, with the aim of evaluating the potential of ChatGPT in clinical operative skills education. METHODS: In this study, 187 undergraduate dental students recruited from a first-class university in China were randomly divided into a ChatGPT group and a blank control group. Among them, the control group used videos for skill acquisition, and the ChatGPT group used ChatGPT in addition to the videos. After 1 week of intervention, skills were tested using desktop virtual reality, and cognitive load was measured by recording changes in pupil diameter with an eye tracker. In addition, a spatial ability test was administered to analyze the effect of ChatGPT on those with different spatial abilities. Finally, a questionnaire was also used to assess cognitive load and self-efficacy during the learning process. RESULTS: A total of 192 dental undergraduates from a top-tier Chinese university were initially recruited for the experiment by October 25, 2024. Following eye-tracking calibration procedures, 5 participants were excluded, resulting in 187 eligible students successfully completing the experimental protocol by November 2, 2024. Following a short-term intervention administered through randomized allocation, superior performance (ChatGPT group: mean 73.12, SD 10.06; control group: mean 65.54, SD 12.48; P<.001) was observed among participants in the ChatGPT group, along with higher levels of self-efficacy (P=.04) and learning motivation (P=.02). In addition, cognitive load was lower in the ChatGPT group according to eye-tracking measures (ChatGPT group: mean 0.137, SD 0.036; control group: mean 0.312, SD 0.032; P<.001). The analysis of the learning performance of participants with different spatial abilities in the 2 modalities showed that compared to the learners with high spatial abilities (ChatGPT group: mean 76.58, SD 9.23; control group: mean 73.89, SD 11.75; P=.22), those with low spatial abilities (ChatGPT group: mean 70.20, SD 10.71; control group: mean 55.41, SD 13.31; P<.001) were more positively influenced by ChatGPT. CONCLUSIONS: ChatGPT has performed outstandingly in assisting dental skill learning, and the study supports the integration of ChatGPT into skills teaching and provides new ideas for modernizing skill teaching. TRIAL REGISTRATION: ClinicalTrials.gov NCT06942130;https://clinicaltrials.gov/study/NCT06942130.
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In Huang et al. (2025), ChatGPT-3.5 added to instructional videos raised unassisted virtual-reality skill assessment scores by 0.67 SD.
“The ChatGPT group scored 0.67 SD higher on an unassisted virtual-reality skill assessment.”
From Experimental Evidence on the Learning Impact of Generative AI (2026) · cites this paper as Huang et al. (2025)
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Alam, M. K., Alsaeed, S., Hajeer, M. Y., Abutayyem, H. M., & Alayyash, A. (2026) · Frontiers in Oral Health · doi:10.3389/froh.2026.1768079 · Cited by 1 · see citing works
Xie, Y. U. Q. I. A. O., Ou, Z., Huang, Y., Huang, H., Ran, X., Dai, H., Huang, B., & Shu, L. (2026) · BMC Medical Education · doi:10.1186/s12909-026-09518-8 · Cited by 1 · see citing works
“Furthermore, structured communication training using role-play and simulated patient interactions has been shown to improve practical communication competence beyond that achieved through supervised patient care alone [31, 32].”
Ma, X., Liu, X., & Sun, H. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1813108 · Cited by 1 · see citing works
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Experimental Evidence on the Learning Impact of Generative AI
Contractor, Z., & Reyes, G. (2026) · arXiv · doi:10.48550/arxiv.2607.08849
Wen, Y., Wen, C., Huang, S., Chong, Y., & Dong, Y. (2026) · Journal of Medical Internet Research · doi:10.2196/90938
“Previous studies have shown that GenAI, such as ChatGPT, has the potential to serve as an instructor for dental skills teaching [9].”
Self-citationTorab-Miandoab, A., Ghafourifard, M., Habibi-Chenaran, S., & Maghalian, M. (2026) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205261491865
Effectiveness of ChatGPT and DeepSeek in Urology Medical Education: Randomized Controlled Trial
Yang, W., Xu, T., Wei, J., Zheng, W., Yan, W., Wang, J., Chu, G., & Niu, H. (2026) · Journal of Medical Internet Research · doi:10.2196/89315
“Thus, AI in medical education presents a dual character [45-48], with its core value lying in assisting, rather than replacing, human educators.”
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The Impact of Generative AI on Self-Efficacy: Evidence From a Meta-Analysis
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“Some studies have focused on chatbot-assisted learning as an educational intervention involving real dental students (3,5,6), whereas others have examined model performance on licensing or specialty examinations (10,11), or compared chatbot outputs against human respondents in more technical…”
InfluentialBuva, K. B., Deshmukh, A. A., Shete, M. V., Shete, A. V., & Gangurde, P. V. (2026) · Evidence-Based Dentistry · doi:10.1038/s41432-026-01226-y
“The remaining three trials 29 – 31 presented some concerns, mainly due to incompletely described randomization methods, lack of blinding, or partly subjective outcome measurement.”
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“…AI and conversational agents (chatbot-based virtual patients) were more commonly associated with enhancements in affective outcomes including motivation, perceived competence, and satisfaction, with variable and predominantly subjective effects on cognitive skill development [7, 30–33 , 36].”
InfluentialImplementation of Generative AI in Biomedical Research and Healthcare
Nikolopoulos, A., & Karalis, V. D. (2026) · Applied Biosciences · doi:10.3390/applbiosci5020034
“A randomized controlled trial showed that dentistry students using GenAI support demonstrate improved operative skill performance and higher learning motivation compared to standard education techniques [81].”
Xie, G., Liao, J., Tang, X., Fu, H., Liu, D., Deng, L., Wang, T., & Hong, X. (2025) · BMC Medical Education · doi:10.1186/s12909-026-09458-3 · Cited by 3 · see citing works
“Most studies lacked pre-registered protocols [25, 31], suggesting a risk of selective outcome reporting.”
InfluentialArtificial intelligence in dental education: applications, evidence and curricular challenges
Reyes, M. F. G., & Trujillo, L. E. C. (2025) · SAP Artificial Intelligence in Dentistry · doi:10.62486/aid202532
Carmona, V. I. S., Jiang, S., & Dong, B. (2026) · BioNLP@ACL · doi:10.18653/v1/2026.bionlp-1.31
“Furthermore, two RCTs showed that ChatGPT’s role as a learning tool enhanced the performance of both dental and medical students for the lectures of clinical operative skills and orthopedics, respectively, compared to control groups (Huang et al., 2025; Gan et al., 2024).”
- Authors
- Huang, S., Wen, C., Bai, X., Li, S., Wang, S., Wang, X., & Yang, D.
- Affiliations
- Wuhan University (CN)
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2025-05-27
- Volume
- 27
- Pages
- e68538
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC12152432
- OpenAlex
- W4410775225
- Cited by
- 33
- References
- 55
- Citations by year
- 2026: 26 · 2025: 7
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Health Commission of Hubei Province
- Natural Science Foundation of Hubei Province (2021CFB466)
- Wuhan University
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Health Sciences › Medicine › Surgery › Surgical Simulation and Training
- Keywords
- ChatGPT, large language models, dental education, cognitive load, self-efficacy, student motivation, spatial ability, eye tracking, virtual reality simulation, artificial intelligence in medical education, video-based instruction, skill performance, pupil size, undergraduate dental students
- MeSH terms
- Virtual Reality, Generative Artificial Intelligence, Adult, Artificial Intelligence, China, Clinical Competence, Education, Dental, Female, Humans, Male, Students, Dental, Self Efficacy, Young Adult
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