Araştırma Makalesi

Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology

Cilt: 6 Sayı: 2 16 Mayıs 2024
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Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology

Öz

Aim: This study aims to evaluate the ability of ChatGPT-4 to generate clinical case-based multiple-choice questions in dental traumatology. Material and Method: International Association of Dental Traumatology guidelines for the management of traumatic dental injuries were introduced to ChatGPT-4 as an information source and ChatGPT-4 was prompted to 20 generate questions in fractures and luxations, avulsion of permanent teeth, injuries in the primary dentition. Sixty questions in total were generated by ChatGPT and the questions were evaluated by 2 endodontists using a 3-point scale. The One-way analysis of variance and Post Hoc Tukey test were used to analyze the data and the significance was P<0.05. Results: The average time to generate 20 questions was 1 min 55 sec. It was noted that 52% of the questions were usable without modification or with minor changes, while 28% were incorrect or completely useless. Conclusion: Despite the flaws, ChatGPT can be useful for creating multiple-choice questions in dental traumatology after a rigorous evaluation, elimination, and development procedure.

Anahtar Kelimeler

Etik Beyan

This study does not require an ethical approval

Kaynakça

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  2. Scully D. Constructing multiple-choice items to measure higher-order thinking. PARE. 2019;22:4.
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  4. Rao SK, Kimball AB, Lehrhoff SR, et al. The impact of administrative burden on academic physicians: results of a hospital-wide physician survey. Acad Med. 2017;92:237-43.
  5. Chen L, Chen P, Lin Z. Artificial intelligence in education: a review. IEEE Access. 2020;8:75264-78.
  6. Cardoso MJ, Houssami N, Pozzi G, Séroussi B. Artificial intelligence (AI) in breast cancer care-leveraging multidisciplinary skills to improve care. Artif Intell Med. 2022;123:102215.
  7. Abd-Alrazaq A, AlSaad R, Alhuwail D, et al. Large language models in medical education: opportunities, challenges, and future directions. JMIR Med Educ. 2023;9:e48291.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Endodonti

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

16 Mayıs 2024

Gönderilme Tarihi

3 Mart 2024

Kabul Tarihi

19 Nisan 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 6 Sayı: 2

Kaynak Göster

APA
Özbay, Y. (2024). Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology. Medical Records, 6(2), 235-238. https://doi.org/10.37990/medr.1446396
AMA
1.Özbay Y. Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology. Med Records. 2024;6(2):235-238. doi:10.37990/medr.1446396
Chicago
Özbay, Yağız. 2024. “Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology”. Medical Records 6 (2): 235-38. https://doi.org/10.37990/medr.1446396.
EndNote
Özbay Y (01 Mayıs 2024) Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology. Medical Records 6 2 235–238.
IEEE
[1]Y. Özbay, “Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology”, Med Records, c. 6, sy 2, ss. 235–238, May. 2024, doi: 10.37990/medr.1446396.
ISNAD
Özbay, Yağız. “Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology”. Medical Records 6/2 (01 Mayıs 2024): 235-238. https://doi.org/10.37990/medr.1446396.
JAMA
1.Özbay Y. Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology. Med Records. 2024;6:235–238.
MLA
Özbay, Yağız. “Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology”. Medical Records, c. 6, sy 2, Mayıs 2024, ss. 235-8, doi:10.37990/medr.1446396.
Vancouver
1.Yağız Özbay. Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology. Med Records. 01 Mayıs 2024;6(2):235-8. doi:10.37990/medr.1446396

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