Evidence map›Paper›PMID 40460020›Full record

ArticleEuropean journal of dental education : official journal of the Association for Dental Education in Europe2026

Artificial Intelligence Chatbots as Virtual Patients in Dental Education: A Constructivist Approach to Classroom Implementation.

Bree Jones, Aditya Desu, Christopher D F Honig

Abstract read
In one paragraph

Article in European journal of dental education : official journal of the Association for Dental Education in Europe, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Comment on 'Artificial Intelligence Chatbots as Virtual Patients in Dental Education: A Constructivist Approach to Classroom Implementation'.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Article
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  5. Artificial Intelligence Chatbots as Virtual Patients in Dental Education: A Constructivist Approach to Classroom Implementation.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Article
  6. Review
  7. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bree JonesMelbourne Dental School, University of Melbourne, Carlton, Victoria, Australia.ORCID 0000-0001-8558-9405
Aditya DesuBusiness Services, University of Melbourne, Carlton, Victoria, Australia.ORCID 0009-0001-7892-3601
Christopher D F HonigDepartment of Chemical Engineering, Faculty of Engineering and IT, University of Melbourne, Carlton, Victoria, Australia.ORCID 0000-0002-4899-6893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdvances in artificial intelligence (AI) have led to new possibilities for AI role-play in classroom settings, where generative pre-trained transformers (GPTs) and chatbots can potentially simulate interactions with patients. This pilot study aimed to design an AI role-play activity underpinned by constructivist principles, implement the activity in a classroom setting, and evaluate the students' engagement with the activity and usability of the interface. MATERIALS AND

methodsThe AI role-play was designed based on a patient presenting to a dental teaching hospital in pain. It comprised two interconnected chatbots intended to simulate a patient consultation and clinical supervisor discussion. The chatbots were built using the open-source framework Streamlit and powered by Chat GPT-4. Second and final-year students from an oral health degree were recruited through convenience sampling. Classroom observations were recorded and final-year students participated in a usability questionnaire to gain insights into their engagement, technical challenges, and suggestions for improvement. Data usage and token costs were collected to assess the AI chatbot's feasibility.

resultsEducator observations noted that AI role-play facilitated peer discussion, highlighted gaps in history-taking, and promoted peer learning. Usability survey feedback (n = 14) suggested that students perceived the AI role-play as authentic and relevant to clinical practice, with 86% strongly agreeing it aligned with real-world dental scenarios. The screen design, navigation, and multimedia integration were highly rated. The approximate costs for the activities were $13.17 (USD) for approximately 20 queries, per 20 students.

conclusionThis study presents a descriptive analysis of the implementation of an AI role-play within the early phases of a design-based research framework. AI role-play activities can be implemented in a classroom setting and are perceived as useful for students to apply skills in taking a pain history. While results showed promise for scalability and authentic learning, future research evaluating the impact of the implementation of these activities on student learning should be explored.

Indexed as

Artificial IntelligenceEducation, DentalPatient SimulationGenerative Artificial IntelligenceHumansPilot ProjectsStudents, DentalSurveys and QuestionnairesUser-Computer Interfacechatbotconstructivismdental educationgenerative artificial intelligencesimulation

Identifiers

PMID40460020
PMCPMC13090419

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.