ArticleEuropean journal of dental education : official journal of the Association for Dental Education in Europe2026
The Role of Chatbots in Enquiry-Based Learning for Oral Health Students-An Exploratory Study.
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 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The Role of Chatbots in Enquiry-Based Learning for Oral Health Students-An Exploratory Study.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study explores the reliability of four Chatbots in enquiry-based learning. Four Chatbots, namely Microsoft Copilot, Google Gemini, ChatGPT 3.5 and Perplexity, were used to answer and generate questions in four specific subject areas.
methodsThe four Chatbots were subjected to questions at three cognitive levels and to generate questions based on specific contexts. The responses generated were assessed by two oral health academics for accuracy and appropriateness.
resultsThe findings indicated that ChatGPT3.5 generated the best self-assessment questions while Microsoft Copilot generated the best answers to questions. The performance of the Chatbots varied based on the subject on which the question was based and on the cognitive level of the question. While the questions at cognitive level one were answered most appropriately, the overall depth of responses to periodontology questions at cognitive level two was lower than for questions on dental materials, restorative dentistry and oral biology.
conclusionThe potential role of Chatbots in enquiry-based learning is evident to some extent, but they currently do not have the proficiency that a human teacher has.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.