Evaluating the Feasibility of ChatGPT in Dental Morphology Education: A Pilot Study on AI-Assisted Learning in Dental Morphology

Background: This study was conducted to evaluate the potential of using ChatGPT in dental morphology education.Dental morphology is a fundamental subject in dental education that enables students to understand the structure and function of teeth, which is necessary for accurate diagnosis and treatment planning.Recently, artificial intelligence (AI) technology has gained attention as an educational support tool, and large language models like ChatGPT hold great potential to facilitate learners' understanding through real-time interaction.Methods: This study involved asking GPT-4 questions from the national dental hygiene exam's dental morphology section from 2021 to 2023, followed by an analysis of its response accuracy.Results: The results showed that GPT-4 demonstrated high accuracy in some questions but lacked consistency depending on the difficulty and content of the questions.Specifically, GPT-4 was found to struggle with understanding complex tooth morphology and detailed academic concepts.Conclusion: These findings suggest that ChatGPT could be a useful educational tool in dental morphology education, although supplementary educational adjustments are necessary.Future research should explore developing a learning environment where AI and educators collaborate to address AI limitations and enhance students' learning motivation and comprehension.

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Publication Details

Journal
Journal of dental hygiene science
Published
2024-12-26
DOI
https://doi.org/10.17135/jdhs.2024.24.4.309
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.12
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article

Evaluating the Feasibility of ChatGPT in Dental Morphology Education: A Pilot Study on AI-Assisted Learning in Dental Morphology

Hyun-Na Ahn, Jeong-Hyun Lee, Eun‐Young Jeon
1 citations
Journal of dental hygiene science
Artificial Intelligence in Healthcare and Education
0.12
article

Evaluating the Feasibility of ChatGPT in Dental Morphology Education: A Pilot Study on AI-Assisted Learning in Dental Morphology

Hyun-Na Ahn, Jeong-Hyun Lee, Eun‐Young Jeon
article en
1 citations

Abstract

Background: This study was conducted to evaluate the potential of using ChatGPT in dental morphology education.Dental morphology is a fundamental subject in dental education that enables students to understand the structure and function of teeth, which is necessary for accurate diagnosis and treatment planning.Recently, artificial intelligence (AI) technology has gained attention as an educational support tool, and large language models like ChatGPT hold great potential to facilitate learners' understanding through real-time interaction.Methods: This study involved asking GPT-4 questions from the national dental hygiene exam's dental morphology section from 2021 to 2023, followed by an analysis of its response accuracy.Results: The results showed that GPT-4 demonstrated high accuracy in some questions but lacked consistency depending on the difficulty and content of the questions.Specifically, GPT-4 was found to struggle with understanding complex tooth morphology and detailed academic concepts.Conclusion: These findings suggest that ChatGPT could be a useful educational tool in dental morphology education, although supplementary educational adjustments are necessary.Future research should explore developing a learning environment where AI and educators collaborate to address AI limitations and enhance students' learning motivation and comprehension.

Journal of dental hygiene scienceVol. 24(4)
Yonsei University (KR), Kyungbok University (KR), Yonsei University College of Dentistry, Dankook University (KR)
Quality Education
Openalex Percentile: Top 46%
Artificial Intelligence in Healthcare and Education
0.12
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Evaluating the Feasibility of ChatGPT in Dental Morphology Education: A Pilot Study on AI-Assisted Learning in Dental Morphology — Hyun-Na Ahn, Jeong-Hyun Lee, et al. · Journal of dental hygiene science (2024) | TGRS Research Map | TGRS